subject:(Multi objective calibration)

Delft University of Technology

1. Dalmijn, Brendan (author). Compensation of data shortage by evaluation criteria in hydrological modelling.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:9d8c58ce-1923-4eb2-b693-85de45cf7cf0

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This thesis proposes an approach for tackling the problem of data-shortage in hydrological modelling. A hydrological model, in the context of this thesis, translates meteorological… (more)

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This thesis proposes an approach for tackling the problem of data-shortage in hydrological modelling. A hydrological model, in the context of this thesis, translates meteorological data to stream-flow of a river, for a specific catchment. A model incorporates parameters that describe the dynamics of a chosen model, in this case a FLEX (Flux-Exchange) based model. All parameter together form a set. These parameters are unknown and therefore need to be determined, which is done via a calibration process. In the calibration process, the modelled flow will be evaluated against the observed stream-flow over a period of time for a certain hydrological signature. A hydrological signature is defined as the quantification of specific information concerning the rainfall-runoff dynamics of a catchment, e.g. the mean stream-flow. The evaluation for a certain hydrological signature is known as an evaluation criterion. Literature deems the use of one or two criteria in combination with multiple years of data enough to ensure a good performance from the parameter-sets that exit the calibration process. As this amount of data is not available everywhere, this thesis proposes to still ensure good model performance for less observed data. For this purpose, a selection was made of evaluation criteria to be applied in the calibration process. These criteria were selected in such a way that various different characteristics of the hydrological response were covered. A benchmark was created for comparison purposes in which 10 years of data was used during calibration and one evaluation criterion. After the benchmark, the observed data was shortened and evaluation criteria were added. The results showed that 6 months worth of data in combination with all criteria would create benchmark-level performances without extra information. The same level of performance can be reached with 3 months of data but this would require extra information. This information would be e.g. during which period of time observed data should be collected.

Civil Engineering | Water Management

Advisors/Committee Members: Hrachowitz, Markus (mentor), Bakker, Mark (graduation committee), van der Hoek, Jan Peter (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Hydrological Modelling; Calibration; Evaluation Criteria; Signatures; Multi-objective calibration

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APA (6^th Edition):

Dalmijn, B. (. (2019). Compensation of data shortage by evaluation criteria in hydrological modelling. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9d8c58ce-1923-4eb2-b693-85de45cf7cf0

Chicago Manual of Style (16^th Edition):

Dalmijn, Brendan (author). “Compensation of data shortage by evaluation criteria in hydrological modelling.” 2019. Masters Thesis, Delft University of Technology. Accessed April 16, 2021. http://resolver.tudelft.nl/uuid:9d8c58ce-1923-4eb2-b693-85de45cf7cf0.

MLA Handbook (7^th Edition):

Dalmijn, Brendan (author). “Compensation of data shortage by evaluation criteria in hydrological modelling.” 2019. Web. 16 Apr 2021.

Vancouver:

Dalmijn B(. Compensation of data shortage by evaluation criteria in hydrological modelling. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 16]. Available from: http://resolver.tudelft.nl/uuid:9d8c58ce-1923-4eb2-b693-85de45cf7cf0.

Council of Science Editors:

Dalmijn B(. Compensation of data shortage by evaluation criteria in hydrological modelling. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:9d8c58ce-1923-4eb2-b693-85de45cf7cf0

Delft University of Technology

2. Sparnaaij, Martijn (author). How to calibrate a pedestrian simulation model: An investigation into how the choices of scenarios and metrics influence the calibration.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:a0ce4bfc-ea40-43c5-a592-4e830ab62319

► This research investigates the question how the choice of scenarios and metrics influences the calibration of pedestrian simulation models. By calibrating a pedestrian model using… (more)

Subjects/Keywords: Pedestrian simulation models; Calibration; Pedestrian; Multi-objective calibration

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APA (6^th Edition):

Sparnaaij, M. (. (2017). How to calibrate a pedestrian simulation model: An investigation into how the choices of scenarios and metrics influence the calibration. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a0ce4bfc-ea40-43c5-a592-4e830ab62319

Chicago Manual of Style (16^th Edition):

Sparnaaij, Martijn (author). “How to calibrate a pedestrian simulation model: An investigation into how the choices of scenarios and metrics influence the calibration.” 2017. Masters Thesis, Delft University of Technology. Accessed April 16, 2021. http://resolver.tudelft.nl/uuid:a0ce4bfc-ea40-43c5-a592-4e830ab62319.

MLA Handbook (7^th Edition):

Sparnaaij, Martijn (author). “How to calibrate a pedestrian simulation model: An investigation into how the choices of scenarios and metrics influence the calibration.” 2017. Web. 16 Apr 2021.

Vancouver:

Sparnaaij M(. How to calibrate a pedestrian simulation model: An investigation into how the choices of scenarios and metrics influence the calibration. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 16]. Available from: http://resolver.tudelft.nl/uuid:a0ce4bfc-ea40-43c5-a592-4e830ab62319.

Council of Science Editors:

Sparnaaij M(. How to calibrate a pedestrian simulation model: An investigation into how the choices of scenarios and metrics influence the calibration. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:a0ce4bfc-ea40-43c5-a592-4e830ab62319

Kyoto University / 京都大学

3. Kaji, Hirotaka. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合.

Degree: 博士(情報学), 2008, Kyoto University / 京都大学

URL: http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187

► The aim of this thesis is establishment of an overall framework of a novel control parameter optimization of automotive engine. Today, control parameters of an… (more)

▼ The aim of this thesis is establishment of an overall framework of a novel control parameter optimization of automotive engine. Today, control parameters of an automotive engine have to be adjusted adequately and simultaneously to achieve plural criteria such as environmental emissions, fuel-consumption and engine torque. This process is called 'engine calibration'. Because many electronic control devices have been adopted for engine to satisfy these objectives, the complexity of engine calibration is increasing year to year. Recent progress in automatic control and instrumentation provides a smart environment called Hardware In the Loop Simulation (HILS) for engine calibration. In addition, Response Surface Methodology (RSM) based on statistical model is currently employed as the optimization method. Nevertheless, this approach is complicated by adequate model selection, precise model construction, and close model validation to confirm the precision of the model output. To cope with these problems, we noticed experiment-based optimization via HILS environment based on Multi-objective Evolutionary Algorithms (MOEAs), that is expected to be a powerful optimization framework for real world problems such as engineering design, as another automatic calibration approach. In experiment-based optimization, the parameters of a real system are optimized directly by optimization techniques in real time through experimentation. In this thesis, this approach is called Experiment-Based Evolutionary Multi-objective Optimization (EBEMO) and it is proposed as a novel automatic engine calibration technique. This approach can release us from burdens of model selection, construction, and validation. When using this technique, calibration can be done immediately after specifications have been changed after optimization. Hence, EBEMO promises to be an effective approach to automatic engine calibration. However, since conventional MOEAs face several difficulties, it is not easy to apply it to real engines. On the one hand, deterioration factors of the search performance of MOEAs in real environments have to be considered. For example, the observation noise of sensors included in output interferes with convergence of MOEAs. In addition, transient response by parameter switching also has similar harmful effects. Moreover, the periodicity of control inputs increase the complexity of the problems. On the other hand, the search time of MOEAs in real environments has to reduce because MOEAs require a tremendous number of evaluations. While we can obtain many measurements with HILS, severe limitations in the number of fitness evaluations still exist because the real experiments need real-time evaluations. Therefore, it is difficult to obtain a set of Pareto optimal solutions in practical time with conventional MOEAs. Additionally, plural MOPs defined by plural operating conditions of map-based controllers has to be optimized. In this thesis, to overcome the difficulties and to make EBEMO using the HILS environment feasible, five techniques are…

Subjects/Keywords: evolutionary multi-objective optimization; engine calibration; experiment-based optimization

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APA (6^th Edition):

Kaji, H. (2008). Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kaji, Hirotaka. “Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合.” 2008. Thesis, Kyoto University / 京都大学. Accessed April 16, 2021. http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kaji, Hirotaka. “Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合.” 2008. Web. 16 Apr 2021.

Vancouver:

Kaji H. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合. [Internet] [Thesis]. Kyoto University / 京都大学; 2008. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaji H. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合. [Thesis]. Kyoto University / 京都大学; 2008. Available from: http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

4. Newland, Charles Peter. Developing a (Semi) Automatic Calibration Procedure for Cellular Automata based Land-use Models.

Degree: 2018, University of Adelaide

URL: http://hdl.handle.net/2440/119790

► Land-use change models are used to understand the wide-ranging impacts that land-use changes have on a region. Effective modelling of land-use changes must capture multiple,… (more)

▼ Land-use change models are used to understand the wide-ranging impacts that land-use changes have on a region. Effective modelling of land-use changes must capture multiple, mutually influential drivers. A common framework for modelling land-use changes uses Cellular Automata (CA), which have seen a growth in application driven by the availability of generic modelling platforms, shifting the focus of research about Land-Use Cellular Automata (LUCA) models from development to application, with a particular focus on calibration. Calibration of LUCA models is complex, as land-use change is a path-dependent process with uncertain outcomes captured by a number of model parameters. Of note are LUCA models that use a transition potential, which are traditionally calibrated using a manual approach, a process that is time-consuming and lacks objectivity. Hence, there has been a focus on the development of automatic calibration methods for these types of models. To automate calibration, metrics are used to capture two separate properties of performance: locational agreement, the match of pixels between simulated outputs and the corresponding observed data, and landscape pattern structure, the inferred realism of land-use change processes captured by the difference between the observed and simulated landscape patterns. The primary objective of this research is to develop improved automatic calibration methods for transition potential based LUCA models. There are two common approaches, optimisation-based and process-specific. The major contributions of this body of work are the development of improved versions of each type of approach, and the development of a hybrid method combining the advantages of the two approaches. First, a generic multi-objective optimisation framework for automatic calibration of transition potential LUCA models was developed in Paper 1 (Chapter 2) that allows for the exploration of trade-offs between the model performance objectives. Second, a process-specific semi-automatic calibration method that integrates objective analysis with discursive input to facilitate efficient calibration of neighbourhood rules (the main calibration parameter for this type of model) within a limited computational budget was developed in Paper 2 (Chapter 3). Finally, a generic framework for hybrid automatic calibration, which integrates domain knowledge into a multi-objective optimisation approach, was developed in Paper 3 (Chapter 4). The utility of each method was demonstrated via case study applications, showing promising potential for future applications of LUCA models to support long term planning and policy development. Advisors/Committee Members: Maier, Holger R. (advisor), School of Civil, Environmental and Mining Engineering (school).

Subjects/Keywords: Land use; cellular automata; automatic calibration; multi-objective optimisation

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APA (6^th Edition):

Newland, C. P. (2018). Developing a (Semi) Automatic Calibration Procedure for Cellular Automata based Land-use Models. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/119790

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Newland, Charles Peter. “Developing a (Semi) Automatic Calibration Procedure for Cellular Automata based Land-use Models.” 2018. Thesis, University of Adelaide. Accessed April 16, 2021. http://hdl.handle.net/2440/119790.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Newland, Charles Peter. “Developing a (Semi) Automatic Calibration Procedure for Cellular Automata based Land-use Models.” 2018. Web. 16 Apr 2021.

Vancouver:

Newland CP. Developing a (Semi) Automatic Calibration Procedure for Cellular Automata based Land-use Models. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2440/119790.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Newland CP. Developing a (Semi) Automatic Calibration Procedure for Cellular Automata based Land-use Models. [Thesis]. University of Adelaide; 2018. Available from: http://hdl.handle.net/2440/119790

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Loughborough University

5. Le-Corre, Sam. Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms.

Degree: PhD, 2019, Loughborough University

URL: https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059

► The work in this thesis examines how complex dynamic systems can be improved and analysed using optimization techniques. A novel technique to systems analysis is… (more)

▼ The work in this thesis examines how complex dynamic systems can be improved and analysed using optimization techniques. A novel technique to systems analysis is presented and applied to a modern turbocharged, direct injection gasoline engine. A system-level view approach is taken which considers the whole system (engine and associated control strategy) to identify limitations imposed by the controls. Three key research gaps are identified and addressed. The first is the current lack of multi-objective optimization approaches applied to the engine calibration problem in a dynamic manner. Where optimization approaches are applied, they are either static, or massively constrained. A new route to engine calibration is shown to be possible with careful optimization problem definition. To this end, fast running neuro-fuzzy models and a combined system model including the controls strategy allows multi-objective approaches to be applied in an acceptable time-frame. Dynamic fragments which represent a wide range of engine conditions are used to generate optimal calibrations for the system using dynamic experiments rather than static, which is the current industry standard. The whole process; design of experiments for model design, model training, problem definition and optimization could feasibly be carried out in two weeks with further development. This represents a significant reduction from the current nominal twelve-week task. The process is also relatively autonomous; significant human input is not required to generate the calibrations, and instead the focus can be on the analysis of the candidate solutions. The second is the lack of applications of optimization techniques as an analysis tool to understand system behaviour and limitations. The analysis approach developed uses multiple subtly different problem formulations to gain unique perspectives on the system performance, and in doing so identifies the limitations. Two separate approaches, presented as case studies, are taken. The first examines improvement possible within the current controls' limitations, while the second identifies potential performance outside of the existing control strategy. Performance limitations of the system are linked to a simplification made in the controller design to allow the calibration task to be practical with conventional steady state mapping approaches. The multiple perspectives provided by the approach allows easy identification of the limits, and improved contextual information for understanding the optimization results. The final research gap is in the application of optimization to problems involving all four key aspects of complexity. These are; nonlinearity, problem size (number of objectives), dynamic problems, and robustness. The example problems are formulated in a way to include all four aspects. Non-dominated sorting genetic algorithm III (NSGA-III) is applied as a global solver to an inherently highly complex nonlinear problem. Multiple objectives, fuel consumption and NOX, are studied as well as the scalability of…

Subjects/Keywords: system analysis; Multi-Objective Optimization; applied optimization; Many-objective Optimization; Dynamic optimization; Genetic algorithms (GA); Dynamic systems approach; Engine calibration optimisation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Le-Corre, S. (2019). Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms. (Doctoral Dissertation). Loughborough University. Retrieved from https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059

Chicago Manual of Style (16^th Edition):

Le-Corre, Sam. “Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms.” 2019. Doctoral Dissertation, Loughborough University. Accessed April 16, 2021. https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059.

MLA Handbook (7^th Edition):

Le-Corre, Sam. “Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms.” 2019. Web. 16 Apr 2021.

Vancouver:

Le-Corre S. Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms. [Internet] [Doctoral dissertation]. Loughborough University; 2019. [cited 2021 Apr 16]. Available from: https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059.

Council of Science Editors:

Le-Corre S. Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms. [Doctoral Dissertation]. Loughborough University; 2019. Available from: https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059

University of Colorado

6. Houle, Elizabeth S. Inter-Model Diagnostics for Two Snow Models and Implications for Management.

Degree: MS, 2015, University of Colorado

URL: https://scholar.colorado.edu/cven_gradetds/128

► Water supply in the western United States is dominated by snowmelt, and as a result water management is increasingly reliant on numerical modeling of snowmelt… (more)

▼ Water supply in the western United States is dominated by snowmelt, and as a result water management is increasingly reliant on numerical modeling of snowmelt processes, including snow accumulation and ablation. We seek to advance a framework for providing model diagnostics for such systems by combining an improved understanding of model structural differences (i.e., conceptual vs. physically based) and parameter sensitivities. The two snow models used in this study are SNOW-17, a conceptual degree-day model, and the Variable Infiltration Capacity (VIC) snow model, which is physically based and solves the full water and energy balances. To better understand the performance of these models, global sensitivity analysis and multi-objective calibration methods were applied to identify important parameters and show calibrated parameter values. For the physically based model, we contribute a novel exploration of some parameters that can be adjusted within the model, including the liquid water holding capacity, the density of newly fallen snow, snow roughness, and snow albedo decay parameters. For each model run, snow sensitivities and errors (i.e., snow water equivalent validation) are visualized to better understand the effect of changing parameters on model outputs. The sensitivity analyses and multi-objective calibrations resulted in model parameterizations that produced Nash-Sutcilffe Efficiency values up to 0.88 through 0.95 across all site locations. Additionally, a temperature change analysis was conducted for each model to explore how model parameterizations affect portrayals of climate change. Accurately predicting water yield from snowpack is essential for water management, and it is used here as a practical measure to determine the importance of model parameter sensitivity and calibration. The analysis was conducted across a range of snow-dominated locations representing a variety of climates across the western United States (e.g. continental, maritime, intermountain). Advisors/Committee Members: Joseph Kasprzyk, Ben Livneh, Balaji Rajagopalan, Edith Zagona.

Subjects/Keywords: model diagnostics; multi-objective calibration; sensitivity analysis; snow model; Hydrology; Water Resource Management

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Houle, E. S. (2015). Inter-Model Diagnostics for Two Snow Models and Implications for Management. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/128

Chicago Manual of Style (16^th Edition):

Houle, Elizabeth S. “Inter-Model Diagnostics for Two Snow Models and Implications for Management.” 2015. Masters Thesis, University of Colorado. Accessed April 16, 2021. https://scholar.colorado.edu/cven_gradetds/128.

MLA Handbook (7^th Edition):

Houle, Elizabeth S. “Inter-Model Diagnostics for Two Snow Models and Implications for Management.” 2015. Web. 16 Apr 2021.

Vancouver:

Houle ES. Inter-Model Diagnostics for Two Snow Models and Implications for Management. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2021 Apr 16]. Available from: https://scholar.colorado.edu/cven_gradetds/128.

Council of Science Editors:

Houle ES. Inter-Model Diagnostics for Two Snow Models and Implications for Management. [Masters Thesis]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/cven_gradetds/128

Luleå University of Technology

7. Riwanto, Bagus Adiwiluhung. CubeSat Attitude System Calibration and Testing.

Degree: 2015, Luleå University of Technology

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41981

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This thesis concentrates on the development of Aalto-2 CubeSat attitude system calibration and testing methods. The work covers the design and testing phase of… (more)

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This thesis concentrates on the development of Aalto-2 CubeSat attitude system calibration and testing methods. The work covers the design and testing phase of the calibration algorithms to the analysis of experimental data in order to verify the performance of the attitude instruments. The instruments under test are two-axis digital Sun sensor, three-axis magnetometer, three-axis gyroscope, and three-axis magnetorquer. These devices are all commercial off-the-shelf components which are selected for their cost-to-performance efficiency.The Sun sensor and gyroscope were calibrated with linear batch least squares method and the results showed that only minor corrections were required for the Sun angle and angular velocity readings, while the brightness readings from the Sun sensor required more corrections. For magnetometer calibration, a specific particle swarm optimization algorithm was developed with novel approach to estimate the full calibration parameters, without having to simplify the sensor model. The calibration results were evaluated with simulation data with satisfying results, while the results from experimental data itself showed heading error improvement from 5.24°–13.24° to 1.9°–7.3° for unfiltered data. Besides the magnetometer calibration parameters estimation, the magnetic properties of the spacecraft were also analyzed using inverse multiple magnetic dipole modeling approach, where multiple magnetic dipoles positions and moments are estimated using particle swarm optimization from the magnetic field strength readings around the spacecraft. The estimated total residual magnetic moment of the spacecraft is 58.5mAm2, lower than the maximum magnetorquer moment which is 0.2Am2 in each axis. The magnetorquer was tested for verifying the validity of magnetic moment generated by the magnetorquer. The result shows that the magnetorquer moment is nonlinear, in contrast to the linear theoretical model.

Validerat; 20150824 (global_studentproject_submitter)

Subjects/Keywords: Technology; CubeSat; attitude system; calibration; multi-objective particle swarm optimization; multiple magnetic dipole modeling; Teknik

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APA (6^th Edition):

Riwanto, B. A. (2015). CubeSat Attitude System Calibration and Testing. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41981

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Riwanto, Bagus Adiwiluhung. “CubeSat Attitude System Calibration and Testing.” 2015. Thesis, Luleå University of Technology. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41981.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Riwanto, Bagus Adiwiluhung. “CubeSat Attitude System Calibration and Testing.” 2015. Web. 16 Apr 2021.

Vancouver:

Riwanto BA. CubeSat Attitude System Calibration and Testing. [Internet] [Thesis]. Luleå University of Technology; 2015. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41981.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Riwanto BA. CubeSat Attitude System Calibration and Testing. [Thesis]. Luleå University of Technology; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-41981

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

8. -7981-1495. Developing SWMMCALPY : an automated, genetic approach to calibrating the storm water management model.

Degree: MSin Engineering, Environmental and Water Resources Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/68157

► Parameter calibration is considered a crucial, albeit arduous, step for reliable performance of the Storm Water Management Model (SWMM) that engineers often undertake manually. This… (more)

Subjects/Keywords: SWMM; Automated calibration; NetworkX; Genetic algorithm; NSGA-II; Multi-objective function optimization

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APA (6^th Edition):

-7981-1495. (2018). Developing SWMMCALPY : an automated, genetic approach to calibrating the storm water management model. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68157

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-7981-1495. “Developing SWMMCALPY : an automated, genetic approach to calibrating the storm water management model.” 2018. Masters Thesis, University of Texas – Austin. Accessed April 16, 2021. http://hdl.handle.net/2152/68157.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-7981-1495. “Developing SWMMCALPY : an automated, genetic approach to calibrating the storm water management model.” 2018. Web. 16 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7981-1495. Developing SWMMCALPY : an automated, genetic approach to calibrating the storm water management model. [Internet] [Masters thesis]. University of Texas – Austin; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2152/68157.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7981-1495. Developing SWMMCALPY : an automated, genetic approach to calibrating the storm water management model. [Masters Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68157

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Kyoto University

9. Kaji, Hirotaka. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization .

Degree: 2008, Kyoto University

URL: http://hdl.handle.net/2433/71034

► The aim of this thesis is establishment of an overall framework of a novel control parameter optimization of automotive engine. Today, control parameters of an… (more)

▼ The aim of this thesis is establishment of an overall framework of a novel control parameter optimization of automotive engine. Today, control parameters of an automotive engine have to be adjusted adequately and simultaneously to achieve plural criteria such as environmental emissions, fuel-consumption and engine torque. This process is called 'engine calibration'. Because many electronic control devices have been adopted for engine to satisfy these objectives, the complexity of engine calibration is increasing year to year. Recent progress in automatic control and instrumentation provides a smart environment called Hardware In the Loop Simulation (HILS) for engine calibration. In addition, Response Surface Methodology (RSM) based on statistical model is currently employed as the optimization method. Nevertheless, this approach is complicated by adequate model selection, precise model construction, and close model validation to confirm the precision of the model output. To cope with these problems, we noticed experiment-based optimization via HILS environment based on Multi-objective Evolutionary Algorithms (MOEAs), that is expected to be a powerful optimization framework for real world problems such as engineering design, as another automatic calibration approach. In experiment-based optimization, the parameters of a real system are optimized directly by optimization techniques in real time through experimentation. In this thesis, this approach is called Experiment-Based Evolutionary Multi-objective Optimization (EBEMO) and it is proposed as a novel automatic engine calibration technique. This approach can release us from burdens of model selection, construction, and validation. When using this technique, calibration can be done immediately after specifications have been changed after optimization. Hence, EBEMO promises to be an effective approach to automatic engine calibration. However, since conventional MOEAs face several difficulties, it is not easy to apply it to real engines. On the one hand, deterioration factors of the search performance of MOEAs in real environments have to be considered. For example, the observation noise of sensors included in output interferes with convergence of MOEAs. In addition, transient response by parameter switching also has similar harmful effects. Moreover, the periodicity of control inputs increase the complexity of the problems. On the other hand, the search time of MOEAs in real environments has to reduce because MOEAs require a tremendous number of evaluations. While we can obtain many measurements with HILS, severe limitations in the number of fitness evaluations still exist because the real experiments need real-time evaluations. Therefore, it is difficult to obtain a set of Pareto optimal solutions in practical time with conventional MOEAs. Additionally, plural MOPs defined by plural operating conditions of map-based controllers has to be optimized. In this thesis, to overcome the difficulties and to make EBEMO using the HILS environment feasible, five techniques are… Advisors/Committee Members: 喜多, 一 (advisor), 酒井, 徹朗 (advisor), 片井, 修 (advisor).

Subjects/Keywords: evolutionary multi-objective optimization; engine calibration; experiment-based optimization

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APA (6^th Edition):

Kaji, H. (2008). Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/71034

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kaji, Hirotaka. “Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization .” 2008. Thesis, Kyoto University. Accessed April 16, 2021. http://hdl.handle.net/2433/71034.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kaji, Hirotaka. “Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization .” 2008. Web. 16 Apr 2021.

Vancouver:

Kaji H. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization . [Internet] [Thesis]. Kyoto University; 2008. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2433/71034.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaji H. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization . [Thesis]. Kyoto University; 2008. Available from: http://hdl.handle.net/2433/71034

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Jorge, Carlos Antônio Campos. Algoritmo evolutivo multi-objetivo de tabelas para seleção de variáveis em calibração multivariada.

Degree: 2014, Universidade Federal de Goiás; Programa de Pós-graduação em Ciência da Computação (INF); UFG; Brasil; Instituto de Informática – INF (RG)

URL: http://repositorio.bc.ufg.br/tede/handle/tede/3813

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES

This work proposes the use of a multi-objective evolutionary algorithm that makes use of subsets stored in a data structure called table in which the best individuals from each objective considered are preserved. This approach is compared in this work with the traditional mono-objective evolutionary algorithm (GA), classical algorithms (PLS and SPA) and another classic multi-objective algorithm (NSGA-II). As a case study, a multivariate calibration problem is presented which involves the prediction of protein concentration in samples of whole wheat from the spectrophotometric measurements. The results showed that the proposed formulation has a smaller prediction error when compared to the mono-objective formulation and with a lower number of variables. Finally,astudyofnoisesensitivityobtainedbythemulti-objectiveformulationshoweda better resultwhen compared tothe other classical algorithmforvariable selection.

Este trabalho propõe o uso de algoritmo multi-objetivo evolutivo que faz uso de subconjuntos armazenados em uma estrutura de dados chamada tabela em que os melhores indivíduos de cada objetivo são preservadas. Esta abordagem é comparada neste trabalho com o algoritmo evolutivo tradicional mono-objetivo e outros algoritmos clássicos (MONO-GA-MLR, PLS, APS-MLR) e com o algoritmo multi-objetivo clássico NSGAII-MLR.Comoestudodecaso,oproblemadecalibraçãomultivariadaenvolveaprevisão daconcentraçãodeproteínasemamostrasdetrigoapartirdasmediçõesespectrofotométricas. Os resultados mostraram que a formulação proposta seleciona um número menor de variáveis e apresenta um erro de predição menor quando comparada com o algoritmo evolutivo mono-objetivo. Quando comparado com os algoritmos clássicos PLS e APSMLR e com o algoritmo multi-objetivo clássico NSGA-II-MLR, o algoritmo proposto apresenta um erro de predição menor, porém com um número maior de variáveis selecionadas. Finalmente, um estudo de sensibilidade à ruído foi realizado. A solução obtida pela formulação proposta apresentou melhores resultados quando comparado com o…

Advisors/Committee Members: Soares, Anderso da Silva, Soares, Anderson da Silva, Coelho, Clarimar José, Delbem, Alexandre Cláudio Botazzo.

Subjects/Keywords: Seleção de variáveis; Algoritmos evolutivos; Calibração; Algoritmos multi-objetivos; Multivariate calibration; Variable selection; Evolutionary algorithms; Multi-objective algorithms; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jorge, C. A. C. (2014). Algoritmo evolutivo multi-objetivo de tabelas para seleção de variáveis em calibração multivariada. (Masters Thesis). Universidade Federal de Goiás; Programa de Pós-graduação em Ciência da Computação (INF); UFG; Brasil; Instituto de Informática – INF (RG). Retrieved from http://repositorio.bc.ufg.br/tede/handle/tede/3813

Chicago Manual of Style (16^th Edition):

Jorge, Carlos Antônio Campos. “Algoritmo evolutivo multi-objetivo de tabelas para seleção de variáveis em calibração multivariada.” 2014. Masters Thesis, Universidade Federal de Goiás; Programa de Pós-graduação em Ciência da Computação (INF); UFG; Brasil; Instituto de Informática – INF (RG). Accessed April 16, 2021. http://repositorio.bc.ufg.br/tede/handle/tede/3813.

MLA Handbook (7^th Edition):

Jorge, Carlos Antônio Campos. “Algoritmo evolutivo multi-objetivo de tabelas para seleção de variáveis em calibração multivariada.” 2014. Web. 16 Apr 2021.

Vancouver:

Jorge CAC. Algoritmo evolutivo multi-objetivo de tabelas para seleção de variáveis em calibração multivariada. [Internet] [Masters thesis]. Universidade Federal de Goiás; Programa de Pós-graduação em Ciência da Computação (INF); UFG; Brasil; Instituto de Informática – INF (RG); 2014. [cited 2021 Apr 16]. Available from: http://repositorio.bc.ufg.br/tede/handle/tede/3813.

Council of Science Editors:

Jorge CAC. Algoritmo evolutivo multi-objetivo de tabelas para seleção de variáveis em calibração multivariada. [Masters Thesis]. Universidade Federal de Goiás; Programa de Pós-graduação em Ciência da Computação (INF); UFG; Brasil; Instituto de Informática – INF (RG); 2014. Available from: http://repositorio.bc.ufg.br/tede/handle/tede/3813

11. Souza, Rávila Marques de. Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas.

Degree: 2014, Universidade Federal de Goiás; Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC); UFG; Brasil; Escola de Engenharia Civil – EEC (RG)

URL: http://repositorio.bc.ufg.br/tede/handle/tde/2965

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Submitted by Erika Demachki ([email protected]) on 2014-08-29T15:51:26Z No. of bitstreams: 2 Dissertação_pós_defesa.pdf: 13484145 bytes, checksum: d45c9d8ffd66532d7cea17f178e2fe9c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)

Made available in DSpace on 2014-08-29T15:51:26Z (GMT). No. of bitstreams: 2 Dissertação_pós_defesa.pdf: 13484145 bytes, checksum: d45c9d8ffd66532d7cea17f178e2fe9c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2014-04-30

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES

This study aimed to develop and calibrate a distributed hydrological model used for a one-dimensional drainage of a peri-urban catchment using the optimization multi-objective method Non -dominated Sorting Genetic Algorithm (NSGA - II) for model calibration. Computational algorithms developed in MATLAB environment were adopted to make this study possible. This model allows a precipitation event to set the surface runoff hydrograph at any position of the watershed (planes or channels) regarding infiltration effect and soil physical characteristics. Objective functions were defined and used simultaneously to calibrate the model. From sensitivity analysis performed, it was found that the model is more affected by the parameters related to permeable areas. The model fit was very good, illustrating the applicability of multi-objective calibration in exploring ideal area and to obtain ideal solutions. Validation proved the efficiency of the model used for other different rainfall events in Samambaia stream basin, generating outputs with good accuracy and optimal theoretical value results for Nash & Sutcliffe coefficients of efficiency near the area region.

O presente trabalho propôs desenvolver e calibrar um modelo hidrológico distribuído unidimensional aplicado a drenagem de uma bacia hidrográfica peri-urbana utilizando o método de otimização multi-objetivo Non-dominated Sorting Genetic Algorithm (NSGA-II) para a calibração do modelo. Para tornar possível a realização deste trabalho foram adotadas rotinas computacionais desenvolvidas em ambiente MATLAB. O modelo desenvolvido permite, para um evento de precipitação, determinar o hidrograma de escoamento superficial em qualquer posição da bacia hidrográfica (planos ou canais) considerando o efeito da infiltração e das características físicas do solo. Foram definidas funções objetivo e aplicadas simultaneamente na calibração do modelo. Da análise de sensibilidade realizada, verificou-se que o modelo é mais impactado pelos parâmetros relativos às áreas permeáveis. O ajuste do modelo foi muito bom, ilustrando a aplicabilidade da calibração multi-objetivo em explorar a região ideal e obter soluções ideais. A validação comprovou a eficiência do modelo, aplicada a outros eventos chuvosos diferentes ocorridos na bacia do córrego Samamabaia, gerando saídas com acurácia satisfatória e resultados para os coeficientes de eficiência Nash & …

Advisors/Committee Members: Formiga, Klebber Teodomiro Martins, Soares, Alexandre Kepler, Vasco, Joel, Milograna, Jussanã.

Subjects/Keywords: Modelos hidrológicos distribuídos; Calibração multi-objetivo; Bacia hidrográfica peri-urbana; Distributed hydrological models; Multi-objective calibration; Peri- urban watershed; ENGENHARIA SANITARIA::RECURSOS HIDRICOS

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Souza, R. M. d. (2014). Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas. (Masters Thesis). Universidade Federal de Goiás; Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC); UFG; Brasil; Escola de Engenharia Civil – EEC (RG). Retrieved from http://repositorio.bc.ufg.br/tede/handle/tde/2965

Chicago Manual of Style (16^th Edition):

Souza, Rávila Marques de. “Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas.” 2014. Masters Thesis, Universidade Federal de Goiás; Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC); UFG; Brasil; Escola de Engenharia Civil – EEC (RG). Accessed April 16, 2021. http://repositorio.bc.ufg.br/tede/handle/tde/2965.

MLA Handbook (7^th Edition):

Souza, Rávila Marques de. “Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas.” 2014. Web. 16 Apr 2021.

Vancouver:

Souza RMd. Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas. [Internet] [Masters thesis]. Universidade Federal de Goiás; Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC); UFG; Brasil; Escola de Engenharia Civil – EEC (RG); 2014. [cited 2021 Apr 16]. Available from: http://repositorio.bc.ufg.br/tede/handle/tde/2965.

Council of Science Editors:

Souza RMd. Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas. [Masters Thesis]. Universidade Federal de Goiás; Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC); UFG; Brasil; Escola de Engenharia Civil – EEC (RG); 2014. Available from: http://repositorio.bc.ufg.br/tede/handle/tde/2965

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