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Delft University of Technology
1.
Plastira, I. (author).
Lucrative Promenades.
Degree: 2015, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:3624611d-6f54-4db4-a3b0-a4ac47b38131 
► The design proposal investigates the generation of a possible social and physical structure within the area of the former army campus of Kodra;thus a communal…
(more)
▼ The design proposal investigates the generation of a possible social and physical structure within the area of the former army campus of Kodra;thus a communal flexible space for people to meet, act, produce and socialize. The general result of this process was to investigate the implementation of computational techniques to generate a building enviroment to reflect social and spacial needs, within the context of experimental green strategies theme.
Non Standard and interactive architecture - Hyperbody
Architecture
Architecture and The Built Environment
Advisors/Committee Members: Bier, H. (mentor), Biloria, N. (mentor), Vollers, K. (mentor).
Subjects/Keywords: optimization; agent-based simulation; urban agriculture
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APA (6th Edition):
Plastira, I. (. (2015). Lucrative Promenades. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3624611d-6f54-4db4-a3b0-a4ac47b38131
Chicago Manual of Style (16th Edition):
Plastira, I (author). “Lucrative Promenades.” 2015. Masters Thesis, Delft University of Technology. Accessed January 15, 2021.
http://resolver.tudelft.nl/uuid:3624611d-6f54-4db4-a3b0-a4ac47b38131.
MLA Handbook (7th Edition):
Plastira, I (author). “Lucrative Promenades.” 2015. Web. 15 Jan 2021.
Vancouver:
Plastira I(. Lucrative Promenades. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Jan 15].
Available from: http://resolver.tudelft.nl/uuid:3624611d-6f54-4db4-a3b0-a4ac47b38131.
Council of Science Editors:
Plastira I(. Lucrative Promenades. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:3624611d-6f54-4db4-a3b0-a4ac47b38131
University of Manitoba
2.
Yahyaie, Farhad.
Simulation-based design of multi-modal systems.
Degree: Electrical and Computer Engineering, 2010, University of Manitoba
URL: http://hdl.handle.net/1993/4304
► This thesis introduces a new optimization algorithm for simulation-based design of systems with multi-modal, nonlinear, black box objective functions. The algorithm extends the recently introduced…
(more)
▼ This thesis introduces a new
optimization algorithm for
simulation-
based design of systems with multi-modal, nonlinear, black box objective functions. The algorithm extends the recently introduced adaptive multi-modal
optimization by incorporating surrogate modeling features similar to response surface methods (RSM). The resulting
optimization algorithm has reduced computational intensity and is therefore well-suited for
optimization of expensive black box objective functions. The algorithm relies on an adaptive and multi-resolution mesh to obtain an initial estimation of the objective function surface. Local surrogate models are then constructed to represent the objective function and to generate additional trial points in the vicinity of local minima discovered. The steps of mesh refinement and surrogate modeling continue until convergence criteria are met. An important property of this algorithm is that it produces progressively accurate surrogate models around the local minima; these models can be used for post-
optimization studies such as sensitivity and tolerance analyses with minimal computational effort. This algorithm is suitable for optimal design of complex engineering systems and enhances the design cycle by enabling computationally affordable uncertainty analysis. The mathematical basis of the algorithm is explained in detail. The thesis also demonstrates the effectiveness of the algorithm using comparative
optimization of several multi-modal objective functions. It also shows several practical applications of the algorithm in the design of complex power and power-electronic systems.
Advisors/Committee Members: Filizadeh, Shaahin (Electrical and Computer Engineering) (supervisor), Gole, Aniruddha (Electrical and Computer Engineering).
Subjects/Keywords: multi-modal optimization; surrogate modeling; simulation-based design; black-box optimization
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APA (6th Edition):
Yahyaie, F. (2010). Simulation-based design of multi-modal systems. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/4304
Chicago Manual of Style (16th Edition):
Yahyaie, Farhad. “Simulation-based design of multi-modal systems.” 2010. Masters Thesis, University of Manitoba. Accessed January 15, 2021.
http://hdl.handle.net/1993/4304.
MLA Handbook (7th Edition):
Yahyaie, Farhad. “Simulation-based design of multi-modal systems.” 2010. Web. 15 Jan 2021.
Vancouver:
Yahyaie F. Simulation-based design of multi-modal systems. [Internet] [Masters thesis]. University of Manitoba; 2010. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1993/4304.
Council of Science Editors:
Yahyaie F. Simulation-based design of multi-modal systems. [Masters Thesis]. University of Manitoba; 2010. Available from: http://hdl.handle.net/1993/4304
University of Illinois – Urbana-Champaign
3.
Chen, Xi.
New model-based methods for non-differentiable optimization.
Degree: PhD, Industrial Engineering, 2015, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/78366
► Model-based optimization methods are effective for solving optimization problems with little structure, such as convexity and differentiability. Such algorithms iteratively find candidate solutions by generating…
(more)
▼ Model-
based optimization methods are effective for solving
optimization problems with little structure, such as convexity and differentiability. Such algorithms iteratively find candidate solutions by generating samples from a parameterized probabilistic model on the solution space, and update the parameter of the probabilistic model
based on the objective function evaluations. This dissertation explores new model-
based optimization methods, and mainly consists of three topics.
The first topic of the dissertation proposes two new model-
based algorithms for discrete
optimization, discrete gradient-
based adaptive stochastic search (discrete-GASS) and annealing gradient-
based adaptive stochastic search (annealing-GASS), under the framework of gradient-
based adaptive stochastic search (GASS), where the parameter of the probabilistic model is updated
based on a direct gradient method. The first algorithm, discrete-GASS, converts the discrete
optimization problem to a continuous problem on the parameter space of a family of independent discrete distributions, and applies a gradient-
based method to find the optimal parameter such that the corresponding distribution has the best capability to generate optimal solution(s) to the original discrete problem. The second algorithm, annealing-GASS, uses Boltzmann distribution as the parameterized probabilistic model, and derives a gradient-
based temperature schedule, which changes adaptively with respect to the current performance of the algorithm, for updating the Boltzmann distribution. We prove the convergence of the two proposed methods, and conduct numerical experiments to compare these two methods as well as some other existing methods.
The second topic of the dissertation proposes a framework of population model-
based optimization (PMO) in order to better capture the multi-modality of the objective functions than the traditional model-
based methods which use only a single model at every iteration. This PMO framework uses a population of models at every iteration with an adaptive mechanism to propagate the population over iterations. The adaptive mechanism is derived from estimating the optimal parameter of the probabilistic model in a Bayesian manner, and thus provides a proper way to determine the diversity in the population of the models. We provide theoretical justification on the convergence of this framework by showing that the posterior distribution of the parameter asymptotically converges to a degenerate distribution concentrating on the optimal parameter. Under this framework, we develop two practical algorithms by incorporating sequential Monte Carlo methods, and carry out numerical experiments to illustrate their performance.
The last topic of the dissertation considers
simulation optimization, where the objective function cannot be evaluated exactly and must be estimated by stochastic
simulation. The idea of model-
based methods for deterministic
optimization is extended to stochastic
optimization. We propose two algorithms: approximate Bayesian computation…
Advisors/Committee Members: Zhou, Enlu (advisor), Sowers, Richard (Committee Chair), Nedich, Angelia (committee member), Hu, Jiaqiao (committee member).
Subjects/Keywords: simulation-based optimization; stochastic search; model-based methods
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APA (6th Edition):
Chen, X. (2015). New model-based methods for non-differentiable optimization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78366
Chicago Manual of Style (16th Edition):
Chen, Xi. “New model-based methods for non-differentiable optimization.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 15, 2021.
http://hdl.handle.net/2142/78366.
MLA Handbook (7th Edition):
Chen, Xi. “New model-based methods for non-differentiable optimization.” 2015. Web. 15 Jan 2021.
Vancouver:
Chen X. New model-based methods for non-differentiable optimization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/2142/78366.
Council of Science Editors:
Chen X. New model-based methods for non-differentiable optimization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78366
University of Manchester
4.
Diaz Leiva, Juan Esteban.
Simulation-Based Optimization for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems.
Degree: 2016, University of Manchester
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199
► This doctoral thesis investigates the application of simulation-based optimization (SBO) as an alternative to conventional optimization techniques when the inherent uncertainty and complex features of…
(more)
▼ This doctoral thesis investigates the application
of simulation-based optimization (SBO) as an alternative to
conventional optimization techniques when the inherent uncertainty
and complex features of real manufacturing systems need to be
considered. Inspired by a real-world production planning setting,
we provide a general formulation of the situation as an extended
knapsack problem. We proceed by proposing a solution approach based
on single and multi-objective SBO models, which use simulation to
capture the uncertainty and complexity of the manufacturing system
and employ meta-heuristic optimizers to search for near-optimal
solutions. Moreover, we consider the design of matheuristic
approaches that combine the advantages of population-based
meta-heuristics with mathematical programming techniques. More
specifically, we consider the integration of mathematical
programming techniques during the initialization stage of the
single and multi-objective approaches as well as during the actual
search process. Using data collected from a manufacturing company,
we provide evidence for the advantages of our approaches over
conventional methods (integer linear programming and
chance-constrained programming) and highlight the synergies
resulting from the combination of simulation, meta-heuristics and
mathematical programming methods. In the context of the same
real-world problem, we also analyse different single and
multi-objective SBO models for robust optimization. We demonstrate
that the choice of robustness measure and the sample size used
during fitness evaluation are crucial considerations in designing
an effective multi-objective model.
No additional materials
No additional materials
Advisors/Committee Members: HANDL, JULIA JK, Xu, Dong-Ling, Handl, Julia.
Subjects/Keywords: Combinatorial optimization; Genetic algorithms; Matheuristics; Meta-heuristics; Multi-objective optimization; Production planning; Robust optimization; Simulation-based optimization; Uncertainty modelling
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APA (6th Edition):
Diaz Leiva, J. E. (2016). Simulation-Based Optimization for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199
Chicago Manual of Style (16th Edition):
Diaz Leiva, Juan Esteban. “Simulation-Based Optimization for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems.” 2016. Doctoral Dissertation, University of Manchester. Accessed January 15, 2021.
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199.
MLA Handbook (7th Edition):
Diaz Leiva, Juan Esteban. “Simulation-Based Optimization for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems.” 2016. Web. 15 Jan 2021.
Vancouver:
Diaz Leiva JE. Simulation-Based Optimization for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 Jan 15].
Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199.
Council of Science Editors:
Diaz Leiva JE. Simulation-Based Optimization for Production Planning:
Integrating Meta-Heuristics, Simulation and Exact Techniques to
Address the Uncertainty and Complexity of Manufacturing
Systems. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:301199
Penn State University
5.
Wang, Liya.
Augmented Simultaneous Perturbation Stochastic Approximation (ASPSA) for Discrete Supply Chain Inventory Optimization Problems.
Degree: 2008, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/7328
► In recent years, simulation optimization has attracted a lot of attention because simulation can model the real systems in fidelity and capture the dynamics of…
(more)
▼ In recent years,
simulation optimization has attracted a lot of attention because
simulation can model the real systems in fidelity and capture the dynamics of the systems. Simultaneous Perturbation Stochastic Approximation (SPSA) is a
simulation optimization algorithm that has attracted considerable attention because of its simplicity and efficiency. SPSA performs well for many problems but does not converge for some. This research proposes Augmented Spontaneous Perturbation Stochastic Approximation (ASPSA) algorithm in which SPSA is extended to include presearch, ordinal
optimization, non-uniform gain, and line search. Extensive tests show that ASPSA achieves speedup and improves solution quality. ASPSA is also shown to converge. For unconstrained problems ASPSA uses random presearch whereas for constrained problems presearch search is used to find a feasible solution, thereby extending the gradient
based approach. Performance of ASPSA is tested for supply chain inventory
optimization problems including serial and fork-join supply chain without constraints and fork-join supply chain network with customer service level constraints. To evaluated performance of ASPSA, a naïve implementation of Genetic Algorithm is used to primarily test solution quality and indicate computation effort. Experiments show that ASPSA is comparable to Genetic Algorithms (GAs) in solution quality (worst case 16.67%) but is much more efficient computationally (12x faster).
Advisors/Committee Members: Vittaldas V Prabhu, Committee Member, Arunachalam Ravindran, Committee Member, Ling Rothrock, Committee Member, Hong Xu, Committee Member.
Subjects/Keywords: Simulation based optimization; supply chain optimization
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, L. (2008). Augmented Simultaneous Perturbation Stochastic Approximation (ASPSA) for Discrete Supply Chain Inventory Optimization Problems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/7328
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wang, Liya. “Augmented Simultaneous Perturbation Stochastic Approximation (ASPSA) for Discrete Supply Chain Inventory Optimization Problems.” 2008. Thesis, Penn State University. Accessed January 15, 2021.
https://submit-etda.libraries.psu.edu/catalog/7328.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wang, Liya. “Augmented Simultaneous Perturbation Stochastic Approximation (ASPSA) for Discrete Supply Chain Inventory Optimization Problems.” 2008. Web. 15 Jan 2021.
Vancouver:
Wang L. Augmented Simultaneous Perturbation Stochastic Approximation (ASPSA) for Discrete Supply Chain Inventory Optimization Problems. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Jan 15].
Available from: https://submit-etda.libraries.psu.edu/catalog/7328.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wang L. Augmented Simultaneous Perturbation Stochastic Approximation (ASPSA) for Discrete Supply Chain Inventory Optimization Problems. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/7328
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Toronto
6.
Puthuparampil, Jobin.
Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers.
Degree: 2018, University of Toronto
URL: http://hdl.handle.net/1807/91618
► Noise control of large diesel and natural gas generators is achieved through industrial mufflers. Design of such mufflers relies heavily on general guidelines. But these…
(more)
▼ Noise control of large diesel and natural gas generators is achieved through industrial mufflers. Design of such mufflers relies heavily on general guidelines. But these guidelines are not suitable for complex mufflers; instead, automated optimization provides an effective means of design. Optimization of a plug flow muffler (PFM) is conducted in this work with two different approaches: 1) a relatively simple gradient-descent algorithm (L-BFGS-B) maximizing the transmission loss of the PFM, and 2) a multi-objective (transmission loss and pressure drop) simulation-based optimization using the Efficient Global Optimization (EGO) algorithm. The EGO algorithm is shown to be well suited for muffler optimization, performing vastly better than the commonly used NSGA-II algorithm. In addition, the initial steps towards the prediction of aeroacoustic noise (self-noise) in mufflers is accomplished through the CFD simulation of the tandem cylinder benchmark experiment.
M.A.S.
Advisors/Committee Members: Sullivan, Pierre E, Mechanical and Industrial Engineering.
Subjects/Keywords: aeroacoustics; muffler; optimization; plug flow muffler; simulation-based optimization; tandem cylinder; 0537
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APA ·
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APA (6th Edition):
Puthuparampil, J. (2018). Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91618
Chicago Manual of Style (16th Edition):
Puthuparampil, Jobin. “Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers.” 2018. Masters Thesis, University of Toronto. Accessed January 15, 2021.
http://hdl.handle.net/1807/91618.
MLA Handbook (7th Edition):
Puthuparampil, Jobin. “Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers.” 2018. Web. 15 Jan 2021.
Vancouver:
Puthuparampil J. Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1807/91618.
Council of Science Editors:
Puthuparampil J. Aeroacoustic Noise Prediction and Acoustic Optimization of Mufflers. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91618
University of Manitoba
7.
Sharafi, Masoud.
Multi-objective optimal design of hybrid renewable energy systems using simulation-based optimization.
Degree: Mechanical Engineering, 2015, University of Manitoba
URL: http://hdl.handle.net/1993/31040
► Renewable energy (RE) resources are relatively unpredictable and dependent on climatic conditions. The negative effects of existing randomness in RE resources can be reduced by…
(more)
▼ Renewable energy (RE) resources are relatively unpredictable and dependent on climatic conditions. The negative effects of existing randomness in RE resources can be reduced by the integration of RE resources into what is called Hybrid Renewable Energy Systems (HRES). The design of HRES remains as a complicated problem since there is uncertainty in energy prices, demand, and RE sources. In addition, it is a multi-objective design since several conflicting objectives must be considered. In this thesis, an optimal sizing approach has been proposed to aid decision makers in sizing and performance analysis of this kind of energy supply systems.
First, a straightforward methodology
based on ε-constraint method is proposed for optimal sizing of HRESs containing RE power generators and two storage devices. The ε-constraint method has been applied to minimize simultaneously the total net present cost of the system, unmet load, and fuel emission. A
simulation-
based particle swarm
optimization approach has been used to tackle the multi-objective
optimization problem.
In the next step, a Pareto-
based search technique, named dynamic multi-objective particle swarm
optimization, has been performed to improve the quality of the Pareto front (PF) approximated by the ε-constraint method. The proposed method is examined for a case study including wind turbines, photovoltaic panels, diesel generators, batteries, fuel cells, electrolyzers, and hydrogen tanks. Well-known metrics from the literature are used to evaluate the generated PF.
Afterward, a multi-objective approach is presented to consider the economic, reliability and environmental issues at various renewable energy ratio values when optimizing the design of building energy supply systems. An existing commercial apartment building operating in a cold Canadian climate has been described to apply the proposed model. In this test application, the model investigates the potential use of RE resources for the building. Furthermore, the
application of plug-in electric vehicles instead of gasoline car for transportation is studied. Comparing model results against two well-known reported multi-objective algorithms has also been examined.
Finally, the existing uncertainties in RE and load are explicitly incorporated into the model to give more accurate and realistic results. An innovative and easy to implement stochastic multi-objective approach is introduced for optimal sizing of an HRES.
Advisors/Committee Members: ElMekkawy, Tarek (Mechanical Engineering) (supervisor), Peng, Qingjin (Mechanical Engineering) Filizadeh, Shaahin (Electrical and Computer Engineering) Elkamel, Ali (University of Waterloo) (examiningcommittee).
Subjects/Keywords: Hybrid renewable energy systems; Multi-objective optimization; Simulation-based optimization; PSO; CO_2 emission
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APA ·
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MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Sharafi, M. (2015). Multi-objective optimal design of hybrid renewable energy systems using simulation-based optimization. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31040
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sharafi, Masoud. “Multi-objective optimal design of hybrid renewable energy systems using simulation-based optimization.” 2015. Thesis, University of Manitoba. Accessed January 15, 2021.
http://hdl.handle.net/1993/31040.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sharafi, Masoud. “Multi-objective optimal design of hybrid renewable energy systems using simulation-based optimization.” 2015. Web. 15 Jan 2021.
Vancouver:
Sharafi M. Multi-objective optimal design of hybrid renewable energy systems using simulation-based optimization. [Internet] [Thesis]. University of Manitoba; 2015. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1993/31040.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sharafi M. Multi-objective optimal design of hybrid renewable energy systems using simulation-based optimization. [Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/31040
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
8.
Jagt, Declan (author).
Adjoint-Based Optimization through Reduced-Order Subdomain Surrogate Modelling: An Application in Reservoir Simulation.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:b20d6d07-a071-4bff-8e55-9f434f09650c
► Although a transition to more sustainable energy production is necessary, fossil fuels will remain a crucial contributor to the world's energy production in the near…
(more)
▼ Although a transition to more sustainable energy production is necessary, fossil fuels will remain a crucial contributor to the world's energy production in the near future. In numerically maximizing the production of these fuels, as well as in many other optimization problems, an objective function has to be optimized on the basis of an input vector, related through some underlying model. Although the adjoint methodology generally allows for efficient gradient-based optimization of such a problem, it quickly becomes infeasible when the model comprises a large-scale system, or access to this model is prohibited. To resolve this, we consider the application of a model order reduction scheme, in combination with subdomain surrogate modeling, to perform the optimization using a reduced-order approximation of the model. In particular, we employ principal orthogonal decomposition (POD), efficiently reducing the size of the underlying system of equations, on the basis of a limited number of samples of the full-order model. Applying a domain decomposition, this number of samples can be reduced even further, although at a decreased efficiency. Next, radial basis function (RBF) interpolation is applied, using the samples to construct a trajectory piecewise linear approximation of the reduced-order model in each subdomain. Combining these different techniques, an optimization algorithm is constructed, applying the adjoint methodology to the reduced-order model in order to compute an approximate gradient. The accuracy of this approximation was found to be poor, but comparable to alternative sample-based methods. An improved accuracy could be achieved by reducing the number of input parameters, allowing for more efficient optimization when applying the algorithm to a particular reservoir model. For another model, however, the algorithm performed worse upon reducing the size of the input, as a result of the fewer degrees of freedom in the optimization procedure. Reacquiring this freedom during the optimization, improved results could be attained, but the number of iterations and thus the cost of the method increased drastically. Comparing the full input implementation to another sample-based method, specifically a straight gradient ensemble algorithm, it was found to produce comparable results. Each method was able to surpass the other, dependent on the particular situation, though the reduced-adjoint algorithm generally expended more effort to attain similar results. This suggests that further study is necessary, for example improving the RBF interpolation or input reduction techniques, to fully exploit the benefits of the POD-TPWL methodology.
Applied Mathematics
Advisors/Committee Members: Heemink, Arnold (mentor), van der Woude, Jacob (graduation committee), Leeuwenburgh, Olwijn (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Production optimization; Adjoint-based optimization; Model-order reduction; Surrogate modelling; Reservoir simulation
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APA ·
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Manager
APA (6th Edition):
Jagt, D. (. (2020). Adjoint-Based Optimization through Reduced-Order Subdomain Surrogate Modelling: An Application in Reservoir Simulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b20d6d07-a071-4bff-8e55-9f434f09650c
Chicago Manual of Style (16th Edition):
Jagt, Declan (author). “Adjoint-Based Optimization through Reduced-Order Subdomain Surrogate Modelling: An Application in Reservoir Simulation.” 2020. Masters Thesis, Delft University of Technology. Accessed January 15, 2021.
http://resolver.tudelft.nl/uuid:b20d6d07-a071-4bff-8e55-9f434f09650c.
MLA Handbook (7th Edition):
Jagt, Declan (author). “Adjoint-Based Optimization through Reduced-Order Subdomain Surrogate Modelling: An Application in Reservoir Simulation.” 2020. Web. 15 Jan 2021.
Vancouver:
Jagt D(. Adjoint-Based Optimization through Reduced-Order Subdomain Surrogate Modelling: An Application in Reservoir Simulation. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 15].
Available from: http://resolver.tudelft.nl/uuid:b20d6d07-a071-4bff-8e55-9f434f09650c.
Council of Science Editors:
Jagt D(. Adjoint-Based Optimization through Reduced-Order Subdomain Surrogate Modelling: An Application in Reservoir Simulation. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:b20d6d07-a071-4bff-8e55-9f434f09650c
Oregon State University
9.
Shielee, David.
Simulation-based micro-scale system modeling and design optimization of a portable absorption cycle cooling system (tactical energy system) under uncertainty.
Degree: MS, Mechanical Engineering, 2007, Oregon State University
URL: http://hdl.handle.net/1957/4757
► Product design is often driven by customer needs and desires. In this case the customer is the US military, and the desire is to have…
(more)
▼ Product design is often driven by customer needs and desires. In this case the customer is the US military, and the desire is to have a cooling unit small enough and light enough to incorporate into hazard suits for use in desert combat. The Micro technology-
based Energy and Chemical Systems (MECS) being developed at Oregon State University (OSU) and other institutions can generate an extraordinary rate of heat and mass transfer capabilities. As this MECS technology is progressing into the application stages,
simulation-
based design
optimization models will provide invaluable information; saving time and money by guiding the direction of prototype creation and validation. This project studies a 2 kW cooling load
based on an absorption cycle ammonia-water cooling system. The absorption cycle was chosen because it requires much less work input in the compression phase than the standard compression cycle systems, making it more suitable for portable applications.
Using basic principles of robust design methodology to reduce the sensitivity of the system performance to changes in input conditions, a more robust system is implemented throughout the research. Specifically for the cooling system that means that varying ambient conditions and thermal configurations will have less of an impact on overall system performance and system weight. The thermodynamic system modeling is done using Engineering Equation Solver. A tradeoff study is conducted to determine an appropriate design space, and then a D-Optimal fractional factorial design is selected using Matlab to define a manageable sized data sample within the design space with the eight design variables with five levels each.
Based on the EES-
based thermodynamics model and sizing results, S-PLUS is the statistical analysis program used to develop the surrogate models of the system performance and weight. Microsoft Excel’s “solver” function was used to optimize and do a sensitivity analysis of the objective function that was created. The results of this process are a range of potential optimal configurations for the system that can be evaluated and selected by a user depending on conditions and the importance of certain factors. The
optimization process generated optimal values for the thermal properties of each component
based on a range of starting points. Each of these sets of optimal points had a variance of less than 20% when the input parameters were varied in a range of 10%. The resulting data supplies potential users with a good range of reasonable configurations for a 2 kW system that operate within acceptable parameters.
Advisors/Committee Members: Ge, Ping (advisor), Paasch, Bob (committee member).
Subjects/Keywords: Simulation based optimization; Cooling
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APA (6th Edition):
Shielee, D. (2007). Simulation-based micro-scale system modeling and design optimization of a portable absorption cycle cooling system (tactical energy system) under uncertainty. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/4757
Chicago Manual of Style (16th Edition):
Shielee, David. “Simulation-based micro-scale system modeling and design optimization of a portable absorption cycle cooling system (tactical energy system) under uncertainty.” 2007. Masters Thesis, Oregon State University. Accessed January 15, 2021.
http://hdl.handle.net/1957/4757.
MLA Handbook (7th Edition):
Shielee, David. “Simulation-based micro-scale system modeling and design optimization of a portable absorption cycle cooling system (tactical energy system) under uncertainty.” 2007. Web. 15 Jan 2021.
Vancouver:
Shielee D. Simulation-based micro-scale system modeling and design optimization of a portable absorption cycle cooling system (tactical energy system) under uncertainty. [Internet] [Masters thesis]. Oregon State University; 2007. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1957/4757.
Council of Science Editors:
Shielee D. Simulation-based micro-scale system modeling and design optimization of a portable absorption cycle cooling system (tactical energy system) under uncertainty. [Masters Thesis]. Oregon State University; 2007. Available from: http://hdl.handle.net/1957/4757
Universidade Nova
10.
Zutshi, Aneesh.
DYNAMOD – A dynamic agent based modelling framework for digital businesses.
Degree: 2015, Universidade Nova
URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/15267
► Digital Businesses have become a major driver for economic growth and have seen an explosion of new startups. At the same time, it also includes…
(more)
▼ Digital Businesses have become a major driver for economic growth and have seen an
explosion of new startups. At the same time, it also includes mature enterprises that have
become global giants in a relatively short period of time. Digital Businesses have unique characteristics that make the running and management of a Digital Business much different from traditional offline businesses. Digital businesses respond to online users who are highly interconnected and networked. This enables a rapid flow of word of mouth, at a pace far greater than ever envisioned when dealing with traditional products and services. The
relatively low cost of incremental user addition has led to a variety of innovation in pricing of digital products, including various forms of free and freemium pricing models. This thesis explores the unique characteristics and complexities of Digital Businesses and its implications on the design of Digital Business Models and Revenue Models.
The thesis proposes an Agent Based Modeling Framework that can be used to develop
Simulation Models that simulate the complex dynamics of Digital Businesses and the user
interactions between users of a digital product. Such Simulation models can be used for a variety of purposes such as simple forecasting, analysing the impact of market disturbances, analysing the impact of changes in pricing models and optimising the pricing for maximum revenue generation or a balance between growth in usage and revenue generation. These models can be developed for a mature enterprise with a large historical record of user growth rate as well as for early stage enterprises without much historical data. Through three case studies, the thesis demonstrates the applicability of the Framework and its potential applications.
Fundação para a Ciência e a Tecnologia (FCT) - SFRH/BD/87286/2012
Advisors/Committee Members: Grilo, António, Gonçalves, Ricardo.
Subjects/Keywords: Business model; Digital business; Agent based modeling; Simulation; Optimization
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APA (6th Edition):
Zutshi, A. (2015). DYNAMOD – A dynamic agent based modelling framework for digital businesses. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/15267
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zutshi, Aneesh. “DYNAMOD – A dynamic agent based modelling framework for digital businesses.” 2015. Thesis, Universidade Nova. Accessed January 15, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/15267.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zutshi, Aneesh. “DYNAMOD – A dynamic agent based modelling framework for digital businesses.” 2015. Web. 15 Jan 2021.
Vancouver:
Zutshi A. DYNAMOD – A dynamic agent based modelling framework for digital businesses. [Internet] [Thesis]. Universidade Nova; 2015. [cited 2021 Jan 15].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/15267.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zutshi A. DYNAMOD – A dynamic agent based modelling framework for digital businesses. [Thesis]. Universidade Nova; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/15267
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
11.
Pardini Susacasa, Laura (author).
Towards passenger-oriented simulation-based rescheduling in metro lines.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:4f98bfb0-e7cd-41e5-8fdb-9db5c4560c76
► Unreliability is a major source of discontent for passengers using public transport. Real-time rescheduling is one of the tools available to deal with it. Although…
(more)
▼ Unreliability is a major source of discontent for passengers using public transport. Real-time rescheduling is one of the tools available to deal with it. Although passenger movements have an impact on the development of a disturbance in public transport operations, this effect is rarely accounted for in rescheduling models for metro networks. The aim of this thesis is to develop a rescheduling framework for metro networks that mitigate the impact of disturbances on passengers whilst considering the dynamic variation of demand and its effect on train operations. To achieve this, the Simulation-Based Traffic Management for Metro Network (SBTM-MN) framework is developed. This comprises two models that interact iteratively, the Transport Simulation Model (TSM), and the Train Rescheduling Model (TRM). The TSM integrates a train simulation in the microscopic train simulation tool OpenTrack, with a passenger module constructed to keep track of passenger allocation and compute train dwell times according to the passenger exchange. The TRM modifies arrival and departure times of trains according to a base schedule and the corresponding passenger allocation provided by the TSM. A series of experiments are carried out on the SBTM-MN, and on each of its components, the TSM and the TRM. These experiments provide insights into the effect of passenger allocation on the rescheduling measure, the trade-off between passenger and operators perspective, and the impact of demand on the development of disturbances. The case study consisted of lines D and E of the Rotterdam metro network, with northerly direction.
Civil Engineering | Transport and Planning
Advisors/Committee Members: Cats, Oded (graduation committee), Bešinović, Nikola (graduation committee), Duinkerken, Mark (graduation committee), Koopman, David (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Simulation-based; Optimization; Metro network; Rescheduling; Passenger-oriented; Open Track
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APA (6th Edition):
Pardini Susacasa, L. (. (2020). Towards passenger-oriented simulation-based rescheduling in metro lines. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4f98bfb0-e7cd-41e5-8fdb-9db5c4560c76
Chicago Manual of Style (16th Edition):
Pardini Susacasa, Laura (author). “Towards passenger-oriented simulation-based rescheduling in metro lines.” 2020. Masters Thesis, Delft University of Technology. Accessed January 15, 2021.
http://resolver.tudelft.nl/uuid:4f98bfb0-e7cd-41e5-8fdb-9db5c4560c76.
MLA Handbook (7th Edition):
Pardini Susacasa, Laura (author). “Towards passenger-oriented simulation-based rescheduling in metro lines.” 2020. Web. 15 Jan 2021.
Vancouver:
Pardini Susacasa L(. Towards passenger-oriented simulation-based rescheduling in metro lines. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Jan 15].
Available from: http://resolver.tudelft.nl/uuid:4f98bfb0-e7cd-41e5-8fdb-9db5c4560c76.
Council of Science Editors:
Pardini Susacasa L(. Towards passenger-oriented simulation-based rescheduling in metro lines. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:4f98bfb0-e7cd-41e5-8fdb-9db5c4560c76
Clemson University
12.
Ravindranath, Karthik.
AGENT-BASED UNDER HOOD PACKING.
Degree: MS, Mechanical Engineering, 2011, Clemson University
URL: https://tigerprints.clemson.edu/all_theses/1049
► Improving vehicle performance and passenger comfort has been a prime engineering concern and focus of research for many years in automotive design. Turning to high-performance…
(more)
▼ Improving vehicle performance and passenger comfort has been a prime engineering concern and focus of research for many years in automotive design. Turning to high-performance components in an effort to improve vehicle performance alone is often not enough and their placement and interactions with other components should also be an integral part of the improvement process. With the advancement in hybrid electric vehicle technology, the packing of components under the hood is ever more essential and challenging. Under hood packing is a multi-objective
optimization problem with many, and mostly conflicting objectives. A non-deterministic multi-objective evolutionary algorithm needs to be integrated with the packing algorithm to obtain solutions. However, it is almost impossible to find optimal solutions in a limited amount of time due to the computationally intensive algorithm. Therefore, a new and efficient approach needs to be developed. This study applies an agent-
based approach to the under hood vehicle packing problem with three objectives, namely: center of gravity, survivability, and maintainability
subject to no overlap among components and with the enclosure, and minimum ground clearance. As per the weak notion of agency, a layered architecture is built with an agent on top of object model. A non-deterministic evolutionary multi-objective algorithm (AMGA-2) is used to identify non-dominated solutions, speed up the convergence to a non-dominated set and prevents unpredictability in the agent system. The developed agent-
based model is applied to a passenger car but, it can also address large packing problems for SUVs and Trucks (FMTV). This work demonstrates the applicability and benefits of an agent-
based approach to the packing problem.
Advisors/Committee Members: Fadel, Dr. Georges M, Thompson , Dr. Lonny L, Li , Dr. Gang.
Subjects/Keywords: Agent-based; Configuration Design; Object-oriented; Optimization; Packing; Simulation; Mechanical Engineering
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Manager
APA (6th Edition):
Ravindranath, K. (2011). AGENT-BASED UNDER HOOD PACKING. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1049
Chicago Manual of Style (16th Edition):
Ravindranath, Karthik. “AGENT-BASED UNDER HOOD PACKING.” 2011. Masters Thesis, Clemson University. Accessed January 15, 2021.
https://tigerprints.clemson.edu/all_theses/1049.
MLA Handbook (7th Edition):
Ravindranath, Karthik. “AGENT-BASED UNDER HOOD PACKING.” 2011. Web. 15 Jan 2021.
Vancouver:
Ravindranath K. AGENT-BASED UNDER HOOD PACKING. [Internet] [Masters thesis]. Clemson University; 2011. [cited 2021 Jan 15].
Available from: https://tigerprints.clemson.edu/all_theses/1049.
Council of Science Editors:
Ravindranath K. AGENT-BASED UNDER HOOD PACKING. [Masters Thesis]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_theses/1049
University of New South Wales
13.
Gu, Ziyuan.
Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment.
Degree: Civil & Environmental Engineering, 2019, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/61967
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:57871/SOURCE02?view=true
► This thesis focuses on modeling and optimization of two-region urban pricing systems and analyzing and understanding the effects of pricing on the network traffic flow.…
(more)
▼ This thesis focuses on modeling and
optimization of two-region urban pricing systems and analyzing and understanding the effects of pricing on the network traffic flow. The motivation of this work is the fact that traffic congestion is growing fast in cities around the world especially in city centers, and hence the need for an effective and efficient travel demand management (TDM) policy. With the aim of advancing the current congestion pricing theory, this thesis proposes and integrates different advanced pricing regimes with the Network Fundamental Diagram (NFD) and
simulation-
based dynamic traffic assignment (DTA), studies and compares different computationally efficient
simulation-
based optimization (SO or SBO) methods, and analyzes and under-stands the effects of different pricing regimes on the network traffic flow.This thesis demonstrates through computer simulations the effectiveness of a well-designed pricing system on improving the network performance. The major finding is that the distance only toll, which represents the state of the practice, naturally drives travelers into the shortest paths within the pricing zone (PZ) resulting in a more uneven distribution of congestion and hence, a larger hysteresis loop in the NFD and lower network flows especially during network recovery. This limitation is overcome by two more advanced pricing regimes, namely the joint distance and time toll (JDTT) and the joint distance and delay toll (JDDT), through the introduction of a time and a delay toll component, respectively. Moreover, this thesis explicitly models and minimizes the heterogeneity of congestion distribution as part of the toll level problem (TLP). The toll area problem (TAP) is also investigated by means of network partitioning.To optimize different pricing regimes through computer simulations, this thesis develops two computationally efficient SO frameworks. The first framework employs a proportional-integral (PI) controller from control theory to solve a simple TLP featuring a low-dimensional decision vector, a set-point objective and only bound constraints. The second framework employs regressing kriging (RK) from machine learning to solve a complex TLP that has either a high-dimensional decision vector, a complex objective, or a set of complex constraints. A comprehensive comparison between the two methods and two other widely used methods, namely simultaneous perturbation stochastic approximation (SPSA) and DIviding RECTangles (DIRECT), are performed.Overall, this thesis provides valuable insights into the study, design, and implementation of urban pricing systems and the effects of pricing on the network traffic flow. Results of this work not only help in developing effective pricing systems to mitigate urban traffic congestion, but also provide competitive solutions to other types of network design problems (NDPs).
Advisors/Committee Members: Saberi, Meead, Civil & Environmental Engineering, Faculty of Engineering, UNSW, Waller, S Travis, Civil & Environmental Engineering, Faculty of Engineering, UNSW.
Subjects/Keywords: Simulation-based optimization; Congestion pricing; Network fundamental diagram; Dynamic traffic assignment
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Manager
APA (6th Edition):
Gu, Z. (2019). Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/61967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:57871/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Gu, Ziyuan. “Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment.” 2019. Doctoral Dissertation, University of New South Wales. Accessed January 15, 2021.
http://handle.unsw.edu.au/1959.4/61967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:57871/SOURCE02?view=true.
MLA Handbook (7th Edition):
Gu, Ziyuan. “Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment.” 2019. Web. 15 Jan 2021.
Vancouver:
Gu Z. Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Jan 15].
Available from: http://handle.unsw.edu.au/1959.4/61967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:57871/SOURCE02?view=true.
Council of Science Editors:
Gu Z. Dynamic Congestion Pricing in Urban Networks with the Network Fundamental Diagram and Simulation-Based Dynamic Traffic Assignment. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/61967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:57871/SOURCE02?view=true
University of Toronto
14.
Ebrahimi, Mehran.
Design and Optimization of Aluminum Cross-car Beam Assemblies Considering Uncertainties.
Degree: 2015, University of Toronto
URL: http://hdl.handle.net/1807/69622
► Designing real-world structures with small failure probabilities has been always a burdensome issue due to high computational efforts demanded for structural reliability assessment. In this…
(more)
▼ Designing real-world structures with small failure probabilities has been always a burdensome issue due to high computational efforts demanded for structural reliability assessment. In this thesis, a new reliability-based design optimization (RBDO) framework is proposed to hasten reliability design of practical structures. Exploiting artificial neural networks along with subset simulation, the developed strategy, significantly diminishes the sampling load of probability evaluations compared to conventional Monte Carlo simulation, so the design process can be carried out within a realistic time frame. To explore the superiority of this approach, it is applied to a 25-bar truss structure. In this study, also, a new framework for designing automotive aluminum cross-car beam (CCB) assemblies from the ground up is developed by implementing various structural optimization techniques. To assay the capability of this approach and the proposed RBDO strategy, an aluminum CCB, for replacing its steel counterpart, was designed considering deterministic and probabilistic constraints.
M.A.S.
Advisors/Committee Members: Behdinan, Kamran, Mechanical and Industrial Engineering.
Subjects/Keywords: Artificial Neural Networks; Corss-Car Beam Assembly; Metaheuristic Optimization; Reliability-based Optimization; Structural Optimization; Subset Simulation; 0548
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Manager
APA (6th Edition):
Ebrahimi, M. (2015). Design and Optimization of Aluminum Cross-car Beam Assemblies Considering Uncertainties. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/69622
Chicago Manual of Style (16th Edition):
Ebrahimi, Mehran. “Design and Optimization of Aluminum Cross-car Beam Assemblies Considering Uncertainties.” 2015. Masters Thesis, University of Toronto. Accessed January 15, 2021.
http://hdl.handle.net/1807/69622.
MLA Handbook (7th Edition):
Ebrahimi, Mehran. “Design and Optimization of Aluminum Cross-car Beam Assemblies Considering Uncertainties.” 2015. Web. 15 Jan 2021.
Vancouver:
Ebrahimi M. Design and Optimization of Aluminum Cross-car Beam Assemblies Considering Uncertainties. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1807/69622.
Council of Science Editors:
Ebrahimi M. Design and Optimization of Aluminum Cross-car Beam Assemblies Considering Uncertainties. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69622
15.
Kashani Pour, Amir Reza.
OPTIMAL REQUIREMENT DETERMINATION FOR PRICING AVAILABILITY-BASED SUSTAINMENT CONTRACTS.
Degree: Mechanical Engineering, 2017, University of Maryland
URL: http://hdl.handle.net/1903/19794
► Sustainment constitutes 70% or more of the total life-cycle cost of many safety-, mission- and infrastructure-critical systems. Prediction and control of the life-cycle cost is…
(more)
▼ Sustainment constitutes 70% or more of the total life-cycle cost of many safety-, mission- and infrastructure-critical systems. Prediction and control of the life-cycle cost is an essential part of all sustainment contracts. For many types of systems, availability is the most critical factor in determining the total life-cycle cost of the system. To address this, availability-
based contracts have been introduced into the governmental and non-governmental acquisitions space (e.g., energy, defense, transportation, and healthcare).However, the development, implementation, and impact of availability requirements within contracts is not well understood.
This dissertation develops a decision support model
based on contract theory, formal modeling and stochastic
optimization for availability-
based contract design. By adoption and extension of the “availability payment” concept introduced for civil infrastructure Public-Private Partnerships (PPPs) and pricing for Performance-
Based Logistics (PBL) contracts, this dissertation develops requirements that maximize the outcome of contracts for both parties.
Under the civil infrastructure “availability payment” PPP, once the asset is available for use, the private sector begins receiving a periodical payment for the contracted number of years
based on meeting performance requirements. This approach has been applied to highways, bridges, etc. The challenge is to determine the most effective requirements, metrics and payment model that protects the public interest, (i.e., does not overpay the private sector) but also minimizes that risk that the asset will become unsupported. This dissertation focuses on availability as the key required outcome for mission-critical systems and provides a methodology for finding the optimum requirements and optimum payment parameters, and introduces new metrics into availability-
based contract structures.
In a product-service oriented environment, formal modeling of contracts (for both the customer and the contractor) will be necessary for pricing, negotiations, and transparency. Conventional methods for simulating a system through its life cycle do not include the effect of the relationship between the contractor and customer. This dissertation integrates engineering models with the incentive structure using a game theoretic
simulation, affine controller design and stochastic
optimization. The model has been used to explore the optimum availability assessment window (i.e., the length of time over which availability must be assessed) for an availability-
based contract.
Advisors/Committee Members: Sandborn, Peter A. (advisor).
Subjects/Keywords: Engineering; Systems science; Finance; Contract Engineering; Discrete-Event Simulation; Optimization-via-Simulation; Performance-Based Contract; Public Private Partnership; Reliability-Based Design
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APA ·
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Manager
APA (6th Edition):
Kashani Pour, A. R. (2017). OPTIMAL REQUIREMENT DETERMINATION FOR PRICING AVAILABILITY-BASED SUSTAINMENT CONTRACTS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/19794
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kashani Pour, Amir Reza. “OPTIMAL REQUIREMENT DETERMINATION FOR PRICING AVAILABILITY-BASED SUSTAINMENT CONTRACTS.” 2017. Thesis, University of Maryland. Accessed January 15, 2021.
http://hdl.handle.net/1903/19794.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kashani Pour, Amir Reza. “OPTIMAL REQUIREMENT DETERMINATION FOR PRICING AVAILABILITY-BASED SUSTAINMENT CONTRACTS.” 2017. Web. 15 Jan 2021.
Vancouver:
Kashani Pour AR. OPTIMAL REQUIREMENT DETERMINATION FOR PRICING AVAILABILITY-BASED SUSTAINMENT CONTRACTS. [Internet] [Thesis]. University of Maryland; 2017. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1903/19794.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kashani Pour AR. OPTIMAL REQUIREMENT DETERMINATION FOR PRICING AVAILABILITY-BASED SUSTAINMENT CONTRACTS. [Thesis]. University of Maryland; 2017. Available from: http://hdl.handle.net/1903/19794
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
16.
Trujillo, Miguel Angel López De La Cova.
Investigation of the workforce effect of an assembly line using multi-objective optimization.
Degree: Engineering Science, 2016, University of Skövde
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13134
► ABSTRACT The aim of industrial production changed from mass production at the beginning of the 20th century. Today, production flexibility determines manufacturing companies' course…
(more)
▼ ABSTRACT The aim of industrial production changed from mass production at the beginning of the 20th century. Today, production flexibility determines manufacturing companies' course of action. In this sense, Volvo Group Trucks Operations is interested in meeting customer demand in their assembly lines by adjusting manpower. Thus, this investigation attempts to analyze the effect of manning on the main final assembly line for thirteen-liter heavy-duty diesel engines at Volvo Group Trucks Operations in Skövde by means of discrete-event simulation. This project presents a simulation model that simulates the assembly line. With the purpose of building the model data were required. One the one hand, qualitative data were collected to improve the knowledge in the fields related to the project topic, as well as to solve the lack of information in certain points of the project. On the other hand, simulation model programming requires quantitative data. Once the model was completed, simulation results were obtained through simulation-based optimization. This optimization process tested 50,000 different workforce scenarios to find the most efficient solutions for three different sequences. Among all results, the most interesting one for Volvo is the one which render 80% of today’s throughput with the minimum number of workers. Consequently, as a case study, a bottleneck analysis and worker performance analysis was performed for this scenario. Finally, a flexible and fully functional model that delivers the desired results was developed. These results provide a comparison among different manning scenarios considering throughput as main measurement of the main final assembly line performance. After analyzing the results, system output behavior was revealed. This behavior allows predicting optimal system output for a given number of operators.
Subjects/Keywords: discrete event simulation; assembly lines; line balancing; bottlenecks; Plant Simulation; manning; operators; Simulation based optimization; Engineering and Technology; Teknik och teknologier
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APA (6th Edition):
Trujillo, M. A. L. D. L. C. (2016). Investigation of the workforce effect of an assembly line using multi-objective optimization. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13134
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Trujillo, Miguel Angel López De La Cova. “Investigation of the workforce effect of an assembly line using multi-objective optimization.” 2016. Thesis, University of Skövde. Accessed January 15, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13134.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Trujillo, Miguel Angel López De La Cova. “Investigation of the workforce effect of an assembly line using multi-objective optimization.” 2016. Web. 15 Jan 2021.
Vancouver:
Trujillo MALDLC. Investigation of the workforce effect of an assembly line using multi-objective optimization. [Internet] [Thesis]. University of Skövde; 2016. [cited 2021 Jan 15].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13134.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Trujillo MALDLC. Investigation of the workforce effect of an assembly line using multi-objective optimization. [Thesis]. University of Skövde; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13134
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Guelph
17.
Nguyen, Sylvia.
Efficiency in Highway Driving: An Agent-Based Model of Driving Behaviour from a System Design Viewpoint.
Degree: MS, Department of Mathematics and Statistics, 2014, University of Guelph
URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7802
► For economic and social reasons, enhancing traffic efficiency is vital. This research investigates improvement in efficiency based on driver behaviour on a generic three-lane highway…
(more)
▼ For economic and social reasons, enhancing traffic efficiency is vital. This research investigates improvement in efficiency
based on driver behaviour on a generic three-lane highway in Ontario. These behaviours include law-abiding Normal drivers, opportunist Deviant drivers, cautious Non-Myopic drivers, tailgating Aggressive drivers, and ambivalent Imitator drivers. Generally, overall traffic efficiency declines with higher car densities. However, efficiency does improve with the presence of Deviant and Aggressive drivers, and Non-Myopic drivers do not affect traffic flow. Imitators are Normal drivers who temporarily mimic deviating driver behaviour. Imitator drivers fare worse than Normal drivers, but slightly improve overall system efficiency.
Advisors/Committee Members: Cojocaru, Monica (advisor), Thommes, Edward (advisor).
Subjects/Keywords: Agent-based modelling; Agent; Traffic; Traffic efficiency; Driving behaviour; Optimization; Simulation; NetLogo; Highway traffic
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APA (6th Edition):
Nguyen, S. (2014). Efficiency in Highway Driving: An Agent-Based Model of Driving Behaviour from a System Design Viewpoint. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7802
Chicago Manual of Style (16th Edition):
Nguyen, Sylvia. “Efficiency in Highway Driving: An Agent-Based Model of Driving Behaviour from a System Design Viewpoint.” 2014. Masters Thesis, University of Guelph. Accessed January 15, 2021.
https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7802.
MLA Handbook (7th Edition):
Nguyen, Sylvia. “Efficiency in Highway Driving: An Agent-Based Model of Driving Behaviour from a System Design Viewpoint.” 2014. Web. 15 Jan 2021.
Vancouver:
Nguyen S. Efficiency in Highway Driving: An Agent-Based Model of Driving Behaviour from a System Design Viewpoint. [Internet] [Masters thesis]. University of Guelph; 2014. [cited 2021 Jan 15].
Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7802.
Council of Science Editors:
Nguyen S. Efficiency in Highway Driving: An Agent-Based Model of Driving Behaviour from a System Design Viewpoint. [Masters Thesis]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7802
Iowa State University
18.
Lee, Alexander David.
Parametric modeling for simulation based hypersonic vehicle design.
Degree: 2015, Iowa State University
URL: https://lib.dr.iastate.edu/etd/14398
► The conceptual design stage offers the most opportunity for innovation and the capability to reveal costly design errors early. Integrating high fidelity design and simulation…
(more)
▼ The conceptual design stage offers the most opportunity for innovation and the capability to reveal costly design errors early. Integrating high fidelity design and simulation tools into the conceptual design stage enables engineers to develop design variations quickly and affordably. This work focuses primarily on the development and utilization of parametric modeling methods as they apply to a simulation based design process. It will also address the impacts to conceptual design development time. A blended wing-body (BWB) hypersonic wave rider demonstrates how state-of-the-art solid modeling techniques can be coupled to high fidelity CFD analysis codes to perform top down design. Performance trends are identified for several trade study variations which represent a single iteration through the simulation based design process. Performance metrics are based on interpretations from higher level customer, regulatory, business, and other requirements. The process of cascading these requirements down to the component level is the definition of top-down-design. This bidirectional tracing of requirements allows vehicle development to progress in a manner such that any change of the vehicle can be assessed in terms of the overarching requirements.
Subjects/Keywords: Aerospace Engineering; Conceptual Design; Hypersonic; Modeling; Optimization; Parametric Modeling; Simulation Based; Aerospace Engineering
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lee, A. D. (2015). Parametric modeling for simulation based hypersonic vehicle design. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14398
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lee, Alexander David. “Parametric modeling for simulation based hypersonic vehicle design.” 2015. Thesis, Iowa State University. Accessed January 15, 2021.
https://lib.dr.iastate.edu/etd/14398.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lee, Alexander David. “Parametric modeling for simulation based hypersonic vehicle design.” 2015. Web. 15 Jan 2021.
Vancouver:
Lee AD. Parametric modeling for simulation based hypersonic vehicle design. [Internet] [Thesis]. Iowa State University; 2015. [cited 2021 Jan 15].
Available from: https://lib.dr.iastate.edu/etd/14398.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lee AD. Parametric modeling for simulation based hypersonic vehicle design. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14398
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Colorado School of Mines
19.
Ben Hassine, Jomâa.
Direct reliability-based design (d-RBD) of shallow wind turbine foundations.
Degree: PhD, Civil and Environmental Engineering, 2018, Colorado School of Mines
URL: http://hdl.handle.net/11124/172809
► Wind turbine foundations transfer dynamic and highly eccentric loads to variable soils. The design of such foundations involves the verification of multiple limit states to…
(more)
▼ Wind turbine foundations transfer dynamic and highly eccentric loads to variable soils. The design of such foundations involves the verification of multiple limit states to ensure proper operation of the turbine and avoid catastrophic failures. An optimal foundation design minimizes cost while meeting all relevant limit states at quantifiable and acceptable risks. This dissertation explores three common limit states that are relevant to the design of shallow, gravity
based, wind turbine foundations using a fully-probabilistic Monte Carlo
Simulation (MCS) method, termed in this work as the direct Reliability
Based Design (d-RBD) method. The three limit states are foundation tilt, rotational stiffness and bearing capacity. For each of these limit states, design variables are randomized using predefined probability density functions. The d-RBD method involves running Monte Carlo Simulations to produce realizations covering potential combinations of design decision variables such as foundation dimensions (e.g. width and/or depth). The d-RBD method uses Bayesian conditional probability theory to select the geometry combinations that meet the predefined target probability of failure. With this approach, a single MCS run is needed to identify pools of acceptable designs for each limit state from which an optimal design meeting all limit states can be selected. This dissertation introduces d-RBD as a direct, fully probabilistic design procedure that offers important advantages over global factor (ASD/WSD) or partial factor (LSD/LRFD) design methods. For each of the limit states under consideration, d-RBD is used to highlight the cost of uncertainty, rank the design variables by their importance and assess the effects of pertinent variability assumptions. The findings from this work are relevant to ongoing efforts to develop international and U.S. standards for the design of wind turbine support structures and their foundations.
Advisors/Committee Members: Griffiths, D. V. (advisor), Johnson, Kathryn E. (committee member), Kiousis, Panagiotis Demetrios, 1956- (committee member), Guerra, Andres (committee member).
Subjects/Keywords: foundation design; Monte Carlo simulation; wind energy; limit state design; design optimization; reliability-based design
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Manager
APA (6th Edition):
Ben Hassine, J. (2018). Direct reliability-based design (d-RBD) of shallow wind turbine foundations. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172809
Chicago Manual of Style (16th Edition):
Ben Hassine, Jomâa. “Direct reliability-based design (d-RBD) of shallow wind turbine foundations.” 2018. Doctoral Dissertation, Colorado School of Mines. Accessed January 15, 2021.
http://hdl.handle.net/11124/172809.
MLA Handbook (7th Edition):
Ben Hassine, Jomâa. “Direct reliability-based design (d-RBD) of shallow wind turbine foundations.” 2018. Web. 15 Jan 2021.
Vancouver:
Ben Hassine J. Direct reliability-based design (d-RBD) of shallow wind turbine foundations. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2018. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/11124/172809.
Council of Science Editors:
Ben Hassine J. Direct reliability-based design (d-RBD) of shallow wind turbine foundations. [Doctoral Dissertation]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172809
University of Arizona
20.
Masoud, Sara.
A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation
.
Degree: 2019, University of Arizona
URL: http://hdl.handle.net/10150/633232
► An integrated traffic control policy for hazardous materials (hazmat) transportation is devised based on dual toll pricing (DTP) and network design (ND) policies within a…
(more)
▼ An integrated traffic control policy for hazardous materials (hazmat) transportation is devised
based on dual toll pricing (DTP) and network design (ND) policies within a two stage
simulation-
based optimization framework to enhance public safety in a highway. This integrated policy is simultaneously able to restrict hazmat traffic from freeways in densely populated areas via ND and control both regular and hazmat vehicles in tollways via DTP. Moreover, the mixed integer progrmming is employed to find the optimum integrated policy, and linear-relaxation technique
based on Kaush-Kahn-Tucker (KKT) conditions is adopted to reduce the search space of the
optimization process. In the proposed framework, all suggested policies are evaluated by an agent-
based simulation model, which is able to interpret complex interrelationship between road conditions and vehicles. In addition, supervised learning (i.e., random forest algorithm) has been implemented within the agant-
based simulation model to predict the risk taking behavior of the drivers considering the drivers' race and gender and transportation network characterstics such as levelness and curviness of the roads. The proposed framework has been demonstrated with a real traffic data of San Antonio, Texas under AnyLogic® platform. The experimental results reveal that the proposed framework is able to efficiently find the optimum integrated policy which effectively reduces the risk of hazmat transportation in a highway.
Advisors/Committee Members: Fan, Neng (advisor), An, Lingling (committeemember), Niu, Yue (committeemember).
Subjects/Keywords: Classification;
Dual Toll Pricing;
Hazardous Material Transportation;
Network Design;
Simulation-based Optimization
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APA (6th Edition):
Masoud, S. (2019). A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation
. (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/633232
Chicago Manual of Style (16th Edition):
Masoud, Sara. “A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation
.” 2019. Masters Thesis, University of Arizona. Accessed January 15, 2021.
http://hdl.handle.net/10150/633232.
MLA Handbook (7th Edition):
Masoud, Sara. “A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation
.” 2019. Web. 15 Jan 2021.
Vancouver:
Masoud S. A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation
. [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/10150/633232.
Council of Science Editors:
Masoud S. A Hierarchical Framework to Mitigate the Risk of Hazardous Material Transportation
. [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633232
University of Southern California
21.
Ahn, Joon.
Optimizing information querying and dissemination in
wireless networks.
Degree: PhD, Electrical Engineering, 2011, University of Southern California
URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/636656/rec/4618
► The recent advancement in semiconductor technologies brings more and more smart devices everywhere around us. Many emerging networks of such devices are envisioned to bring…
(more)
▼ The recent advancement in semiconductor technologies
brings more and more smart devices everywhere around us. Many
emerging networks of such devices are envisioned to bring forward
the era when we can gather information from everywhere, process
them in real-time to make better decision on our activities, and
tap into the necessary information from anywhere, whether at a
standstill or moving around. In this dissertation, we consider two
such promising networks — Wireless Sensor Networks (WSN) and
Vehicular Networks — to see how they can effectively share the
information they produce and consume. ❧ First, we investigate how
to search efficiently for the interesting information generated by
monitoring the physical world through WSNs and look into the
implication of our findings. We derive mathematical models for
communication costs in information sharing (through search and
replication) and optimize the energy-wise communication costs when
the WSN operates as a distributed database system. The
optimization
results are then used to reveal the scaling laws of the network in
terms of energy requirements. ❧ As a second study we investigate
how to effectively disseminate over a vehicular network the
information (e.g. multimedia files) that a group of people want to
consume while they are moving around in the vehicles. We consider a
hybrid network of vehicles in which vehicles are equipped with two
kinds of radios: a high-cost low-bandwidth, long-range cellular
radio, and a free high-bandwidth short-range radio. We formulate an
optimization problem to maximize content dissemination from central
servers to vehicles within a predetermined deadline while
minimizing the cost associated with communicating over the cellular
connection. We mathematically analyze the dissemination process and
derive a closed-form optimal solution. We also develop a
polynomial-time algorithm to obtain the optimal discrete solution
better suited for practice and verify our results using real GPS
traces of taxis.
Advisors/Committee Members: Krishnamachari, Bhaskar (Committee Chair), Silvester, John (Committee Member), Govindan, Ramesh (Committee Member).
Subjects/Keywords: querying; dissemination; optimization; performance analysis; wireless sensor networks; vehicular networks; trace-based simulation
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Manager
APA (6th Edition):
Ahn, J. (2011). Optimizing information querying and dissemination in
wireless networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/636656/rec/4618
Chicago Manual of Style (16th Edition):
Ahn, Joon. “Optimizing information querying and dissemination in
wireless networks.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 15, 2021.
http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/636656/rec/4618.
MLA Handbook (7th Edition):
Ahn, Joon. “Optimizing information querying and dissemination in
wireless networks.” 2011. Web. 15 Jan 2021.
Vancouver:
Ahn J. Optimizing information querying and dissemination in
wireless networks. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Jan 15].
Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/636656/rec/4618.
Council of Science Editors:
Ahn J. Optimizing information querying and dissemination in
wireless networks. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/636656/rec/4618
University of Texas – Austin
22.
Ji, Yuanshen.
A framework for optimized and automated tower crane planning in preconstruction phase.
Degree: PhD, Civil engineering, 2020, University of Texas – Austin
URL: http://dx.doi.org/10.26153/tsw/9794
► The construction industry has only been using tower cranes to assist lift tasks for less than eight decades. In this time, various types of tower…
(more)
▼ The construction industry has only been using tower cranes to assist lift tasks for less than eight decades. In this time, various types of tower cranes have been developed to suit specific requirements of different construction job sites. However, tower cranes are less broadly used in North America, especially in the United States, than Europe and Asia. This is partially attributed to ineffective tower crane planning in the preconstruction phase, which lacks a formalized planning process and a commonly agreed upon planning target. In the state-of-practice, Engineers conduct iterative planning in a manual approach using mostly 2D representations of project data and equipment specifications. The chance of identifying an optimal solution is small and site-specific constraints, such as spatial-temporal conflicts and the ever-changing clearance when collaborating with other machinery equipment are
subject to being overlooked. A formalized planning process, along with advanced modeling,
simulation, and
optimization techniques, provides intuitive observation of the multiple dimensional solution space of the tower crane planning problem. It has the potential to automate and advance the planning of machinery equipment used on building construction projects. This dissertation research enhances tower crane planning in the preconstruction phase using parametric modeling, visualization, four-dimensional
simulation, rule-
based checking, and
optimization algorithms. The overall goal of this study is to create a framework that allows engineers and researchers to formalize site-specific constraints of tower crane plans, and to automate the analysis, evaluation, and visualization of multiple alternative plans. In order to identify the optimal solution, an
optimization formulation using mixed-integer programming was introduced. An application of such framework is presented in real-world scenarios and the results demonstrate that the effectiveness and efficiency of tower crane planning in the preconstruction phase can be improved and a broad range of alternative plans can be quantitatively assessed for communication, training, or continuous improvement. The main contribution of this study includes the introduction of a machinery equipment plan assessment framework. This framework incorporates project data (e.g., schedule, site-layout, lift demands) and a specialized tower crane planning model to visualize, identify, and analyze the obstructions in alternative plans with respect to spatial, capacity, and safety constraints.
Advisors/Committee Members: Leite, Fernanda L. (advisor), Alves, Thais (committee member), Borcherding, John (committee member), Caldas, Carlos (committee member), Machemehl, Randy (committee member).
Subjects/Keywords: BIM; Equipment planning; Simulation; Optimization; Tower crane; Parametric modeling; Rule-based systems
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ji, Y. (2020). A framework for optimized and automated tower crane planning in preconstruction phase. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/9794
Chicago Manual of Style (16th Edition):
Ji, Yuanshen. “A framework for optimized and automated tower crane planning in preconstruction phase.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 15, 2021.
http://dx.doi.org/10.26153/tsw/9794.
MLA Handbook (7th Edition):
Ji, Yuanshen. “A framework for optimized and automated tower crane planning in preconstruction phase.” 2020. Web. 15 Jan 2021.
Vancouver:
Ji Y. A framework for optimized and automated tower crane planning in preconstruction phase. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 15].
Available from: http://dx.doi.org/10.26153/tsw/9794.
Council of Science Editors:
Ji Y. A framework for optimized and automated tower crane planning in preconstruction phase. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/9794
University of Washington
23.
Huang, Hao.
Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System.
Degree: PhD, 2016, University of Washington
URL: http://hdl.handle.net/1773/37155
► Healthcare systems have attracted the attention of management and analysis due to their high percentage of the gross domestic product (GDP) and increasing rate of…
(more)
▼ Healthcare systems have attracted the attention of management and analysis due to their high percentage of the gross domestic product (GDP) and increasing rate of growth of expenditures. Within the various types of healthcare problems, this dissertation focuses on resource allocation decisions because they can significantly improve the performance of care delivery systems. Since most healthcare systems have significant uncertainty and complexity, and mathematical closed form models may not exist, discrete-event
simulation is considered here as a suitable approach to model a healthcare system. Also, multiple objectives are a natural consideration in healthcare problems where at least cost and health outcome are usually considered. This research has two contributions: developing decision support models for three healthcare systems; and developing algorithms for
simulation optimization that can be used to provide insights into healthcare problems. The three healthcare resource allocation problems in this dissertation are: (i) design an occupational health campaign in which two departments in a hospital must coordinate their activities in order to provide a high level of service with intensive service demands in a compressed time period; (ii) investigate how to optimize hepatitis C screening and treatment allocation strategies; (iii) evaluate cost and health quality trade-offs when allocating portable and console type ultrasound instruments for orthopedic clinics. These healthcare systems are modeled with discrete-event
simulation and
optimization. The occupational health campaign was designed with limited resources from a clinic and a laboratory to meet high demands for influenza immunization and tuberculosis (TB) screening. All design configurations of the campaign were simulated to understand the system performance. Hepatitis C screening and treatment allocation strategies involving budget constraints were simulated to maximize the total discounted health utility gain of a cohort over its lifetime. The number of strategies was too large to be exhaustively investigated, so the first
simulation optimization algorithm was applied to explore sensitivity of solutions. The portable ultrasound machine allocation problem considered portable ultrasound machines in orthopedic clinics as a viable alternative to a centralized MRI service, regarding the trade-off between cost and health utility loss. This problem also involved a large number of designs as well as a high degree of randomness and multiple objectives. The use of the second
simulation optimization technique played an important role in this situation. The second contribution in this dissertation is to develop two
simulation optimization algorithms that can be applied to a general black-box
simulation with randomness, such as those used in the hepatitis C screening and treatment strategy and the portable ultrasound instrument allocation problem. The first algorithm focuses on single objective problems and approximates a target level set of solutions bounded by a…
Advisors/Committee Members: Zabinsky, Zelda B (advisor).
Subjects/Keywords: Healthcare Decision Making; Healthcare Simulation; Level Set Approximation; Multiple Objective Optimization; Partition-based Optimization; Simulation Optimization; Industrial engineering; Operations research; Health care management; industrial engineering
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APA ·
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Export
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Manager
APA (6th Edition):
Huang, H. (2016). Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/37155
Chicago Manual of Style (16th Edition):
Huang, Hao. “Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System.” 2016. Doctoral Dissertation, University of Washington. Accessed January 15, 2021.
http://hdl.handle.net/1773/37155.
MLA Handbook (7th Edition):
Huang, Hao. “Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System.” 2016. Web. 15 Jan 2021.
Vancouver:
Huang H. Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1773/37155.
Council of Science Editors:
Huang H. Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/37155
Texas A&M University
24.
Ghasemi, Mohammadreza.
Model Order Reduction in Porous Media Flow Simulation and Optimization.
Degree: PhD, Petroleum Engineering, 2015, Texas A&M University
URL: http://hdl.handle.net/1969.1/155123
► Subsurface flow modeling and simulation is ubiquitous in many energy related processes, including oil and gas production. These models are usually large scale and simulating…
(more)
▼ Subsurface flow modeling and
simulation is ubiquitous in many energy related processes, including oil and gas production. These models are usually large scale and simulating them can be very computationally demanding, particularly in work-flows that require hundreds, if not thousands, runs of a model to achieve the optimal production solution. The primary objective of this study is to reduce the complexity of reservoir
simulation, and to accelerate production
optimization via model order reduction (MOR) by proposing two novel strategies, Proper Orthogonal Decomposition with Discrete Empirical Interpolation Method (POD-DEIM), and Quadratic Bilinear Formulation (QBLF). While the former is a training-
based approach whereby one runs several reservoir models for different input strategies before reducing the model, the latter is a training-free approach.
Model order reduction by POD has been shown to be a viable way to reduce the computational cost of flow
simulation. However, in the case of porous media flow models, this type of MOR scheme does not immediately yield a computationally efficient reduced system. The main difficulty arises in evaluating nonlinear terms on a reduced subspace. One way to overcome this difficulty is to apply DEIM onto the nonlinear functions (fractional flow, for instance) and to select a small set of grid blocks
based on a greedy algorithm. The nonlinear terms are evaluated at these few grid blocks and interpolation
based on projection is used for the rest of them. Furthermore, to reduce the number of POD-DEIM basis and the error, a new approach is integrated in this study to update the basis online. In the regular POD-DEIM work flow all the snapshots are used to find one single reduced subspace, whereas in the new technique, namely the localized POD-DEIM, the snapshots are clustered into different groups by means of clustering techniques (k-means), and the reduced subspaces are computed for each cluster in the online (pre-processing) phase.
In the online phase, at each time step, the reduced states are used in a classifier to find the most representative basis and to update the reduced subspace. In the second approach in order to overcome the issue of nonlinearity, the QBLF of the original nonlinear porous media flow system is introduced, yielding a system that is linear in the input and linear in the state, but not in both input and state jointly. Primarily, a new set of variables is used to change the problem into QBLF. To highlight the superiority of this approach, the new formulation is compared with a Taylor's series expansion of the system. At this initial phase of development, a POD-
based model reduction is integrated with the QBLF in this study in order to reduce the computational costs. This new reduced model has the same form as the original high fidelity model and thus preserves the properties such as stability and passivity. This new form also facilitates the investigation of systematic MOR, where no training or snapshot is required.
We test these MOR algorithms on the SPE10…
Advisors/Committee Members: Gildin, Eduardo (advisor), Efendiev, Yalchin (committee member), King, Michael (committee member), Datta-Gupta, Akhil (committee member).
Subjects/Keywords: subsurface flow simulation; model order reduction; fast optimization; POD-DEIM; quadratic bilinear systems; gradient based optimization
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APA (6th Edition):
Ghasemi, M. (2015). Model Order Reduction in Porous Media Flow Simulation and Optimization. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155123
Chicago Manual of Style (16th Edition):
Ghasemi, Mohammadreza. “Model Order Reduction in Porous Media Flow Simulation and Optimization.” 2015. Doctoral Dissertation, Texas A&M University. Accessed January 15, 2021.
http://hdl.handle.net/1969.1/155123.
MLA Handbook (7th Edition):
Ghasemi, Mohammadreza. “Model Order Reduction in Porous Media Flow Simulation and Optimization.” 2015. Web. 15 Jan 2021.
Vancouver:
Ghasemi M. Model Order Reduction in Porous Media Flow Simulation and Optimization. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/1969.1/155123.
Council of Science Editors:
Ghasemi M. Model Order Reduction in Porous Media Flow Simulation and Optimization. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155123
The Ohio State University
25.
Jayakumar, Adithya.
Simulation-based optimization of Hybrid Systems Using
Derivative Free Optimization Techniques.
Degree: PhD, Electrical and Computer Engineering, 2018, The Ohio State University
URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531954151797307
► Performing numerical optimization in large scale simulations environments is complicated by the fact that the overall objective function might be too computationally intensive or impossible…
(more)
▼ Performing numerical
optimization in large scale
simulations environments is complicated by the fact that the
overall objective function might be too computationally intensive
or impossible to define in its closed form. In these cases,
simulation-
based optimization algorithms, which do not need the
exact closed form objective function are the only viable solution
method. Derivative Free
Optimization algorithms are one such class
of algorithms that does not need the derivative of the objective
function in order to find the optimum. They instead use function
evaluations to traverse the search space. This dissertation
addresses the
optimization challenges of large scale simulators
that do not lend themselves to gradient
based optimization.While
the field of
simulation-
based optimization has been in existence
for a few decades, the growing complexity of models in recent years
puts a focus on the field to provide effective strategies to
efficiently perform the required
optimization. The difference
between simulations and the real world systems they represent is
that simulations use assumptions. It is important that these
assumptions are within an acceptable tolerance which enable them to
model reality with an appropriate level of certainty, within a
reasonable amount of time, and using limited computational
resources. Simulators use various ways to simplify reality and one
way this is done is through the use of look-up tables (LUT). A look
up table is an matrix that enables complicated computation to be
replaced with relatively simpler array indexing. Finding optimal
solutions to simulators which use LUTs is complicated by LUTs being
discrete and event
based. In addition, most
simulation models that
are used to model decision making mechanisms such as embedded
control systems consist of both discrete and continuous state
dynamics. These hybrid system models need both the discrete and
continuous state dynamics to be analyzed and optimized
simultaneously. This dissertation addresses a methodology that can
be employed to optimize hybrid systems that use LUTs in
simulation-
based environments. The particular simulator and
application addressed here is the
optimization of fuel economy in
hybrid electric vehicles (HEVs). Accurately estimating the energy
consumption of hybrid electric vehicles is complicated by the fact
that these vehicles have multiple power sources and complex control
strategies. As a starting point of this research, to ensure that
available vehicle simulators can be validated, a thorough
literature review of energy consumption in HEVs was done both on a
component and an overall level. This then allowed model validation
to be performed. New methods of model validation for the case of
vehicle simulators were also developed and are discussed in this
dissertation. Also in this document, the
optimization framework
developed to robustly minimize fuel economy in a hybrid electric
vehicle simulator is discussed. Since the vehicle simulator is a
hybrid system using LUTs, the methodology developed here will be…
Advisors/Committee Members: Rizzoni, Giorgio (Advisor).
Subjects/Keywords: Computer Engineering; Electrical Engineering; Mechanical Engineering; Simulation-based Optimization; Hybrid Systems; Derivative-free Optimization; Function Approximation; Hybrid Electric Vehicles; Calibration
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Jayakumar, A. (2018). Simulation-based optimization of Hybrid Systems Using
Derivative Free Optimization Techniques. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531954151797307
Chicago Manual of Style (16th Edition):
Jayakumar, Adithya. “Simulation-based optimization of Hybrid Systems Using
Derivative Free Optimization Techniques.” 2018. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1531954151797307.
MLA Handbook (7th Edition):
Jayakumar, Adithya. “Simulation-based optimization of Hybrid Systems Using
Derivative Free Optimization Techniques.” 2018. Web. 15 Jan 2021.
Vancouver:
Jayakumar A. Simulation-based optimization of Hybrid Systems Using
Derivative Free Optimization Techniques. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2021 Jan 15].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531954151797307.
Council of Science Editors:
Jayakumar A. Simulation-based optimization of Hybrid Systems Using
Derivative Free Optimization Techniques. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531954151797307
Penn State University
26.
Foroughi, Reza.
NEW APPROACH IN DESIGNING A KINETIC WINDOW SHADING USING SIMULATION-BASED OPTIMIZATION METHOD.
Degree: 2018, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/15660rff5115
► Windows are the most sensitive part of a building as they are made of transparent surfaces and are placed between outdoor and indoor conditions. Since…
(more)
▼ Windows are the most sensitive part of a building as they are made of transparent surfaces and are placed between outdoor and indoor conditions. Since the outdoor condition changes over time due to the earth’s movement around its orbit and rotation around its axis, exposing windows to the solar radiation should be controlled and moderated. Window shading is one of the most common design strategies to protect windows from solar radiation, but the most challenging part of shading design is to make a balance between energy loads and lighting energy use in which decreasing cooling load may result in increased heating loads and vice versa. To overcome this challenge, new kinetic window shading is designed to identify the trade-off between heating and cooling loads and lighting energy use in small commercial buildings. Unlike traditional shadings, the new kinetic shading is capable to partially open and close
based on the sun angle and climate condition. To achieve this goal, the developed
optimization program using Hill Climbing algorithm is coupled with EnergyPlus software to identify the optimum exposed glazing area (EGA) of the proposed shading. Finally, a kinetic window shading model is designed and presented in 3D Studio Max software. The proposed shading is capable of changing its EGA monthly over a year. The results show with applying the proposed shading the total building energy use is reduced up to 45% and 23% in comparison with the baseline and traditional shading model, respectively.
Advisors/Committee Members: Somayeh Asadi, Dissertation Advisor/Co-Advisor, Somayeh Asadi, Committee Chair/Co-Chair, David R Riley II, Committee Member, Ali M Memari, Committee Member, Ute Poerschke, Outside Member.
Subjects/Keywords: Simulation-based optimization; Energy efficient commercial buildings; Energy simulation; Window shading design; Kinetic window shading; Solar shading; Sustainable building envelope
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CSE |
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Manager
APA (6th Edition):
Foroughi, R. (2018). NEW APPROACH IN DESIGNING A KINETIC WINDOW SHADING USING SIMULATION-BASED OPTIMIZATION METHOD. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15660rff5115
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Foroughi, Reza. “NEW APPROACH IN DESIGNING A KINETIC WINDOW SHADING USING SIMULATION-BASED OPTIMIZATION METHOD.” 2018. Thesis, Penn State University. Accessed January 15, 2021.
https://submit-etda.libraries.psu.edu/catalog/15660rff5115.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Foroughi, Reza. “NEW APPROACH IN DESIGNING A KINETIC WINDOW SHADING USING SIMULATION-BASED OPTIMIZATION METHOD.” 2018. Web. 15 Jan 2021.
Vancouver:
Foroughi R. NEW APPROACH IN DESIGNING A KINETIC WINDOW SHADING USING SIMULATION-BASED OPTIMIZATION METHOD. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Jan 15].
Available from: https://submit-etda.libraries.psu.edu/catalog/15660rff5115.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Foroughi R. NEW APPROACH IN DESIGNING A KINETIC WINDOW SHADING USING SIMULATION-BASED OPTIMIZATION METHOD. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15660rff5115
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
27.
Zambrano Rey, Gabriel.
Réduction du comportement myope dans le contrôle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation : Reducing myopic behavior in FMS control : a semi-heterarchical simulation-optimization approach.
Degree: Docteur es, Automatique. Automatique, génie informatique., 2014, Valenciennes
URL: http://www.theses.fr/2014VALE0018
► Le contrôle hétérarchique des systèmes de production flexibles (FMS) préconise un contrôle peu complexe et hautement réactif supporté par des entités décisionnelles locales (DEs). En…
(more)
▼ Le contrôle hétérarchique des systèmes de production flexibles (FMS) préconise un contrôle peu complexe et hautement réactif supporté par des entités décisionnelles locales (DEs). En dépit d'avancées prometteuses, ces architectures présentent un comportement myope car les DEs ont une visibilité informationnelle limitée sue les autres DEs, ce qui rend difficile la garantie d'une performance globale minimum. Cette thèse se concentre sur les approches permettant de réduire cette myopie. D'abord, une définition et une typologie de cette myopie dans les FMS sont proposées. Ensuite, nous proposons de traiter explicitement le comportement myope avec une architecture semi-hétérarchique. Dans celle-ci, une entité décisionnelle globale (GDE) traite différents types de décisions myopes à l'aide des différentes techniques d'optimisation basée sur la simulation (SbO). De plus, les SbO peuvent adopter plusieurs rôles, permettant de réduire le comportement myope de plusieurs façons. Il est également possible d'avoir plusieurs niveaux d'autonomie en appliquant différents modes d'interaction. Ainsi, notre approche accepte des configurations dans lesquelles certains comportements myopes sont réduits et d'autres sont acceptés. Notre approche a été instanciée pour contrôler la cellule flexible AIP- PRIMECA de l'Université de Valenciennes. Les résultats des simulations ont montré que l'architecture proposée peut réduire les comportements myopes en établissant un équilibre entre la réactivité et la performance globale. Des expérimentations réelles ont été réalisées sur la cellule AIP-PRIMECA pour des scenarios dynamiques et des résultats prometteurs ont été obtenus.
Heterarchical-based control for flexible manufacturing systems (FMS) localizes control capabilities in decisional entities (DE), resulting in highly reactive and low complex control architectures. However, these architectures present myopic behavior since DEs have limited visibility of other DEs and their behavior, making difficult to ensure certain global performance. This dissertation focuses on reducing myopic behavior. At first, a definition and a typology of myopic behavior in FMS is proposed. In this thesis, myopic behavior is dealt explicitly so global performance can be improved. Thus, we propose a semi-heterarchical architecture in which a global decisional entity (GDE) deals with different kinds of myopic decisions using simulation-based optimization (SbOs). Different optimization techniques can be used so myopic decisions can be dealt individually, favoring GDE modularity. Then, the SbOs can adopt different roles, being possible to reduce myopic behavior in different ways. More, it is also possible to grant local decisional entities with different autonomy levels by applying different interaction modes. In order to balance reactivity and global performance, our approach accepts configurations in which some myopic behaviors are reduced and others are accepted. Our approach was instantiated to control the assembly cell at Valenciennes AIPPRIMECA center. Simulation…
Advisors/Committee Members: Trentesaux, Damien (thesis director), Berger, Thierry (thesis director).
Subjects/Keywords: Pilotage semi-Hétérarchique; Myopie; Réactivité; Performance globale; Simulation; Optimisation; Fms; Heterarchy; Myopic behavior; Simulation-Based optimization; Fms; Reactivity; Globalperformance
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APA ·
Chicago ·
MLA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zambrano Rey, G. (2014). Réduction du comportement myope dans le contrôle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation : Reducing myopic behavior in FMS control : a semi-heterarchical simulation-optimization approach. (Doctoral Dissertation). Valenciennes. Retrieved from http://www.theses.fr/2014VALE0018
Chicago Manual of Style (16th Edition):
Zambrano Rey, Gabriel. “Réduction du comportement myope dans le contrôle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation : Reducing myopic behavior in FMS control : a semi-heterarchical simulation-optimization approach.” 2014. Doctoral Dissertation, Valenciennes. Accessed January 15, 2021.
http://www.theses.fr/2014VALE0018.
MLA Handbook (7th Edition):
Zambrano Rey, Gabriel. “Réduction du comportement myope dans le contrôle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation : Reducing myopic behavior in FMS control : a semi-heterarchical simulation-optimization approach.” 2014. Web. 15 Jan 2021.
Vancouver:
Zambrano Rey G. Réduction du comportement myope dans le contrôle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation : Reducing myopic behavior in FMS control : a semi-heterarchical simulation-optimization approach. [Internet] [Doctoral dissertation]. Valenciennes; 2014. [cited 2021 Jan 15].
Available from: http://www.theses.fr/2014VALE0018.
Council of Science Editors:
Zambrano Rey G. Réduction du comportement myope dans le contrôle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation : Reducing myopic behavior in FMS control : a semi-heterarchical simulation-optimization approach. [Doctoral Dissertation]. Valenciennes; 2014. Available from: http://www.theses.fr/2014VALE0018
Colorado School of Mines
28.
Adams, Matthew J.
Multi-scale modeling and analysis via surrogate modeling techniques for in vivo knee loading predictions.
Degree: MS(M.S.), Mechanical Engineering, 2014, Colorado School of Mines
URL: http://hdl.handle.net/11124/10637
► Total knee replacement is a viable treatment for end-stage knee arthritis. With a greater number of younger patients opting for total knee replacement surgery, their…
(more)
▼ Total knee replacement is a viable treatment for end-stage knee arthritis. With a greater number of younger patients opting for total knee replacement surgery, their increasingly active lifestyles will result in higher wear rates while decreasing the life expectancy of the tibial insert component of the knee replacement implant. In response to the eventuality of patients with more active lifestyles requiring knee replacement surgery, this research proposed to accurately estimate in vivo knee loading over a gait cycle through a multi-scale modeling approach. Estimates for knee loading were compared to publicly-available in vivo knee loading measurements from a telemetric implant. A whole-body musculoskeletal modeling approach was used to simulate the gait cycle of a person who had undergone total knee replacement surgery. This approach was used to calculate net knee joint contact forces. Then, an explicit dynamic finite element analysis was used to estimate the load distribution in the medial and lateral compartments of the knee using a six degree of freedom knee joint. Surrogate modeling via spline interpolations was then utilized to reduce computational time and effort for calculation of the load distributions from finite element analysis to less than five seconds. Results suggest that generic whole-body modeling and hybrid forward dynamic
simulation techniques for estimating knee joint loads may become clinically feasible in the near future. Finite element modeling and analysis produced two key results. First, the best results from varying the location of the femoral component reference point did not accurately reflect an ISO wear model location for the femoral reference point. Second, the finite element model accurately estimated the medial and lateral contact forces during the stance phase. However, surrogate modeling successfully interpolated the load distributions in the medial and lateral contact surfaces using results from the finite element analysis without requiring any knowledge of the geometry of the contact surfaces. This research concludes by proposing to couple whole-body modeling and
simulation techniques with a surrogate
optimization scheme to provide clinicians with a patient's knee loading behavior. A path toward improving predictive wear modeling and
simulation is also provided.
Advisors/Committee Members: Turner, Cameron J. (advisor), Silverman, Anne K. (advisor), Petrella, Anthony J. (committee member), Blacklock, Jenifer (committee member).
Subjects/Keywords: Knee – Movements – Computer simulation; Musculoskeletal system – Computer simulation; Multiscale modeling; Finite element method; Surrogate-based optimization; Total knee replacement
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Adams, M. J. (2014). Multi-scale modeling and analysis via surrogate modeling techniques for in vivo knee loading predictions. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/10637
Chicago Manual of Style (16th Edition):
Adams, Matthew J. “Multi-scale modeling and analysis via surrogate modeling techniques for in vivo knee loading predictions.” 2014. Masters Thesis, Colorado School of Mines. Accessed January 15, 2021.
http://hdl.handle.net/11124/10637.
MLA Handbook (7th Edition):
Adams, Matthew J. “Multi-scale modeling and analysis via surrogate modeling techniques for in vivo knee loading predictions.” 2014. Web. 15 Jan 2021.
Vancouver:
Adams MJ. Multi-scale modeling and analysis via surrogate modeling techniques for in vivo knee loading predictions. [Internet] [Masters thesis]. Colorado School of Mines; 2014. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/11124/10637.
Council of Science Editors:
Adams MJ. Multi-scale modeling and analysis via surrogate modeling techniques for in vivo knee loading predictions. [Masters Thesis]. Colorado School of Mines; 2014. Available from: http://hdl.handle.net/11124/10637
Cal Poly
29.
Lunsford, Ian M.
SUBSYSTEM FAILURE ANALYSIS WITHIN THE HORIZON SIMULATION FRAMEWORK.
Degree: MS, Aerospace Engineering, 2016, Cal Poly
URL: https://digitalcommons.calpoly.edu/theses/1560
;
10.15368/theses.2016.40
► System design is an inherently expensive and time consuming process. Engineers are constantly tasked to investigate new solutions for various programs. Model-based systems engineering…
(more)
▼ System design is an inherently expensive and time consuming process. Engineers are constantly tasked to investigate new solutions for various programs. Model-
based systems engineering (MBSE) is an up and coming successful method used to reduce the time spent during the design process. By utilizing simulations, model-
based systems engineering can verify high-level system requirements quickly and at low cost early in the design process. The Horizon
Simulation Framework, or HSF, provides the capability of simulating a system and verifying the system performance. This paper outlines an improvement to the Horizon
Simulation Framework by providing information to the user regarding schedule failures due to subsystem failures and constraint violations. Using the C# language, constraint violation rates and subsystem failure rates are organized by magnitude and written to .csv files. Also, proper subsystem failure and constraint violation checking orders were stored for HSF to use as new evaluation sequences. The functionalities of the systemEval framework were verified by five test cases. The output information can be used for the user to improve their system and possibly reduce the total run-time of the Horizon
Simulation Framework.
Advisors/Committee Members: Dr. Eric Mehiel.
Subjects/Keywords: Horizon Simulation Framework; Model-based Systems Engineering; Simulations; Modeling; Systems Engineering; MBSE; Model-based Engineering; Systems Engineering and Multidisciplinary Design Optimization
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lunsford, I. M. (2016). SUBSYSTEM FAILURE ANALYSIS WITHIN THE HORIZON SIMULATION FRAMEWORK. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1560 ; 10.15368/theses.2016.40
Chicago Manual of Style (16th Edition):
Lunsford, Ian M. “SUBSYSTEM FAILURE ANALYSIS WITHIN THE HORIZON SIMULATION FRAMEWORK.” 2016. Masters Thesis, Cal Poly. Accessed January 15, 2021.
https://digitalcommons.calpoly.edu/theses/1560 ; 10.15368/theses.2016.40.
MLA Handbook (7th Edition):
Lunsford, Ian M. “SUBSYSTEM FAILURE ANALYSIS WITHIN THE HORIZON SIMULATION FRAMEWORK.” 2016. Web. 15 Jan 2021.
Vancouver:
Lunsford IM. SUBSYSTEM FAILURE ANALYSIS WITHIN THE HORIZON SIMULATION FRAMEWORK. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2021 Jan 15].
Available from: https://digitalcommons.calpoly.edu/theses/1560 ; 10.15368/theses.2016.40.
Council of Science Editors:
Lunsford IM. SUBSYSTEM FAILURE ANALYSIS WITHIN THE HORIZON SIMULATION FRAMEWORK. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1560 ; 10.15368/theses.2016.40
University of Arizona
30.
Mazhari, Esfandyar M.
OPERATIONAL DECISION MAKING IN COMPOUND ENERGY SYSTEMS USING MULTI-LEVEL MULTI PARADIGM SIMULATION BASED OPTIMIZATION
.
Degree: 2011, University of Arizona
URL: http://hdl.handle.net/10150/203489
► A two level hierarchical simulation and decision modeling framework is proposed for electric power networks involving PV based solar generators, various storage, and grid connection.…
(more)
▼ A two level hierarchical
simulation and decision modeling framework is proposed for electric power networks involving PV
based solar generators, various storage, and grid connection. The high level model, from a utility company perspective, concerns operational decision making and defining regulations for customers for a reduced cost and enhanced reliability. The lower level model concerns changes in power quality and changes in demand behavior caused by customers' response to operational decisions and regulations made by the utility company at the high level. The higher level
simulation is
based on system dynamics and agent-
based modeling while the lower level
simulation is
based on agent-
based modeling and circuit-level continuous time modeling. The proposed two level model incorporates a
simulation based optimization engine that is a combination of three meta-heuristics including Scatter Search, Tabu Search, and Neural Networks for finding optimum operational decision making. In addition, a reinforcement learning algorithm that uses Markov decision process tools is also used to generate decision policies. An integration and coordination framework is developed, which details the sequence, frequency, and types of interactions between two models. The proposed framework is demonstrated with several case studies with real-time or historical for solar insolation, storage units, demand profiles, and price of electricity of grid (i.e., avoided cost). Challenges that are addressed in case studies and applications include 1) finding a best policy, optimum price and regulation for a utility company while keeping the customers electricity quality within the accepted range, 2) capacity planning of electricity systems with PV generators, storage systems, and grid, and 3) finding the optimum threshold price that is used to decide how much energy should be bought from sold to grid to minimize the cost. Mathematical formulations, and
simulation and decision modeling methodologies are presented. A grid-storage analysis is performed for arbitrage, to explore if in future it is going to be beneficial to use storage systems along with grid, with future technological improvement in storage and increasing cost of electrical energy. An information model is discussed that facilitates interoperability of different applications in the proposed hierarchical
simulation and decision environment for energy systems.
Advisors/Committee Members: Son, Young-Jun (advisor), Liu, Jian (committeemember), Simmons, Joseph H. (committeemember), Son, Young-Jun (committeemember).
Subjects/Keywords: MULTI-LEVEL SIMULATION;
MULTI PARADIGM SIMULATION;
OPERATIONAL DECISION MAKING;
SIMULATION BASED OPTIMIZATION;
Systems & Industrial Engineering;
COMPOUND ENERGY SYSTEMS;
MULTI-LEVEL MULTI PARADIGM SIMULATION
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APA ·
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MLA ·
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Export
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Manager
APA (6th Edition):
Mazhari, E. M. (2011). OPERATIONAL DECISION MAKING IN COMPOUND ENERGY SYSTEMS USING MULTI-LEVEL MULTI PARADIGM SIMULATION BASED OPTIMIZATION
. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/203489
Chicago Manual of Style (16th Edition):
Mazhari, Esfandyar M. “OPERATIONAL DECISION MAKING IN COMPOUND ENERGY SYSTEMS USING MULTI-LEVEL MULTI PARADIGM SIMULATION BASED OPTIMIZATION
.” 2011. Doctoral Dissertation, University of Arizona. Accessed January 15, 2021.
http://hdl.handle.net/10150/203489.
MLA Handbook (7th Edition):
Mazhari, Esfandyar M. “OPERATIONAL DECISION MAKING IN COMPOUND ENERGY SYSTEMS USING MULTI-LEVEL MULTI PARADIGM SIMULATION BASED OPTIMIZATION
.” 2011. Web. 15 Jan 2021.
Vancouver:
Mazhari EM. OPERATIONAL DECISION MAKING IN COMPOUND ENERGY SYSTEMS USING MULTI-LEVEL MULTI PARADIGM SIMULATION BASED OPTIMIZATION
. [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2021 Jan 15].
Available from: http://hdl.handle.net/10150/203489.
Council of Science Editors:
Mazhari EM. OPERATIONAL DECISION MAKING IN COMPOUND ENERGY SYSTEMS USING MULTI-LEVEL MULTI PARADIGM SIMULATION BASED OPTIMIZATION
. [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/203489
◁ [1] [2] [3] [4] ▶
. 
Open Access Theses and Dissertations
