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You searched for subject:(Optimization under Uncertainty). Showing records 1 – 30 of 64 total matches.

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University of Illinois – Chicago

1. Moon, Jeonghwa. Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization.

Degree: 2017, University of Illinois – Chicago

Uncertainty is a fundamental factor we should consider in process design because it is inherent characteristics of any process systems. For instance, physical properties of… (more)

Subjects/Keywords: design under uncertainty; global optimization

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APA (6th Edition):

Moon, J. (2017). Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22195

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):

Moon, Jeonghwa. “Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization.” 2017. Thesis, University of Illinois – Chicago. Accessed November 15, 2019. http://hdl.handle.net/10027/22195.

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

MLA Handbook (7th Edition):

Moon, Jeonghwa. “Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization.” 2017. Web. 15 Nov 2019.

Vancouver:

Moon J. Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/10027/22195.

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

Council of Science Editors:

Moon J. Chemical Process Design under Uncertainty-Models and Algorithms for Global Optimization. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22195

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


Georgia Tech

2. Basciftci, Beste. Data-driven stochastic optimization approaches with applications in power systems.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 In this thesis, we focus on data-driven stochastic optimization problems with an emphasis in power systems applications. On the one hand, we address the inefficiencies… (more)

Subjects/Keywords: Optimization under uncertainty; Energy systems

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APA (6th Edition):

Basciftci, B. (2019). Data-driven stochastic optimization approaches with applications in power systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61765

Chicago Manual of Style (16th Edition):

Basciftci, Beste. “Data-driven stochastic optimization approaches with applications in power systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed November 15, 2019. http://hdl.handle.net/1853/61765.

MLA Handbook (7th Edition):

Basciftci, Beste. “Data-driven stochastic optimization approaches with applications in power systems.” 2019. Web. 15 Nov 2019.

Vancouver:

Basciftci B. Data-driven stochastic optimization approaches with applications in power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1853/61765.

Council of Science Editors:

Basciftci B. Data-driven stochastic optimization approaches with applications in power systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61765


Carnegie Mellon University

3. Amaran, Satyajith. Interactions of Uncertainty and Optimization: Theory, Algorithms, and Applications to Chemical Site Operations.

Degree: 2014, Carnegie Mellon University

 This thesis explores different paradigms for incorporating uncertainty with optimization frameworks for applications in chemical engineering and site-wide operations. First, we address the simulation optimization(more)

Subjects/Keywords: optimization under uncertainty; maintenance turnarounds; simulation optimization

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APA (6th Edition):

Amaran, S. (2014). Interactions of Uncertainty and Optimization: Theory, Algorithms, and Applications to Chemical Site Operations. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/438 ; http://search.library.cmu.edu/vufind/Record/1408778

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):

Amaran, Satyajith. “Interactions of Uncertainty and Optimization: Theory, Algorithms, and Applications to Chemical Site Operations.” 2014. Thesis, Carnegie Mellon University. Accessed November 15, 2019. http://repository.cmu.edu/dissertations/438 ; http://search.library.cmu.edu/vufind/Record/1408778.

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

MLA Handbook (7th Edition):

Amaran, Satyajith. “Interactions of Uncertainty and Optimization: Theory, Algorithms, and Applications to Chemical Site Operations.” 2014. Web. 15 Nov 2019.

Vancouver:

Amaran S. Interactions of Uncertainty and Optimization: Theory, Algorithms, and Applications to Chemical Site Operations. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Nov 15]. Available from: http://repository.cmu.edu/dissertations/438 ; http://search.library.cmu.edu/vufind/Record/1408778.

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

Council of Science Editors:

Amaran S. Interactions of Uncertainty and Optimization: Theory, Algorithms, and Applications to Chemical Site Operations. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/438 ; http://search.library.cmu.edu/vufind/Record/1408778

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


Iowa State University

4. Du, Xiaosong. Efficient uncertainty propagation for model-assisted probability of detection and sensitivity analysis via metamodeling and multifidelity methods.

Degree: 2019, Iowa State University

 Physics-based simulation models are important to the decision-making process in the design of modern engineered systems. The key challenges of using accurate predictive simulations in… (more)

Subjects/Keywords: Aerodynamic optimization; Metamodeling; Multifidelity modeling; Optimum design under uncertainty; Uncertainty propagation; Uncertainty quantification; Aerospace Engineering

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APA (6th Edition):

Du, X. (2019). Efficient uncertainty propagation for model-assisted probability of detection and sensitivity analysis via metamodeling and multifidelity methods. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17007

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):

Du, Xiaosong. “Efficient uncertainty propagation for model-assisted probability of detection and sensitivity analysis via metamodeling and multifidelity methods.” 2019. Thesis, Iowa State University. Accessed November 15, 2019. https://lib.dr.iastate.edu/etd/17007.

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

MLA Handbook (7th Edition):

Du, Xiaosong. “Efficient uncertainty propagation for model-assisted probability of detection and sensitivity analysis via metamodeling and multifidelity methods.” 2019. Web. 15 Nov 2019.

Vancouver:

Du X. Efficient uncertainty propagation for model-assisted probability of detection and sensitivity analysis via metamodeling and multifidelity methods. [Internet] [Thesis]. Iowa State University; 2019. [cited 2019 Nov 15]. Available from: https://lib.dr.iastate.edu/etd/17007.

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

Council of Science Editors:

Du X. Efficient uncertainty propagation for model-assisted probability of detection and sensitivity analysis via metamodeling and multifidelity methods. [Thesis]. Iowa State University; 2019. Available from: https://lib.dr.iastate.edu/etd/17007

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


University of Colorado

5. Feldhacker, Juliana D. Incorporating Uncertainty into Spacecraft Mission and Trajectory Design.

Degree: PhD, Aerospace Engineering Sciences, 2016, University of Colorado

  The complex nature of many astrodynamic systems often leads to high computational costs or degraded accuracy in the analysis and design of spacecraft missions,… (more)

Subjects/Keywords: mission design; optimization under uncertainty; robust design; trajectory optimization; uncertainty quantification; Aerospace Engineering

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APA (6th Edition):

Feldhacker, J. D. (2016). Incorporating Uncertainty into Spacecraft Mission and Trajectory Design. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/asen_gradetds/135

Chicago Manual of Style (16th Edition):

Feldhacker, Juliana D. “Incorporating Uncertainty into Spacecraft Mission and Trajectory Design.” 2016. Doctoral Dissertation, University of Colorado. Accessed November 15, 2019. http://scholar.colorado.edu/asen_gradetds/135.

MLA Handbook (7th Edition):

Feldhacker, Juliana D. “Incorporating Uncertainty into Spacecraft Mission and Trajectory Design.” 2016. Web. 15 Nov 2019.

Vancouver:

Feldhacker JD. Incorporating Uncertainty into Spacecraft Mission and Trajectory Design. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2019 Nov 15]. Available from: http://scholar.colorado.edu/asen_gradetds/135.

Council of Science Editors:

Feldhacker JD. Incorporating Uncertainty into Spacecraft Mission and Trajectory Design. [Doctoral Dissertation]. University of Colorado; 2016. Available from: http://scholar.colorado.edu/asen_gradetds/135


Princeton University

6. Matthews, Logan Ryan. Advancing Robust Optimization for Process Systems Engineering Applications .

Degree: PhD, 2018, Princeton University

 Robust optimization is a popular method for incorporating parameter uncertainty into optimization models. Whether parameters represent the price of a feedstock or product, the operability… (more)

Subjects/Keywords: Global Optimization; Optimization Under Uncertainty; Process Synthesis; Resilient Network Design; Robust Optimization

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APA (6th Edition):

Matthews, L. R. (2018). Advancing Robust Optimization for Process Systems Engineering Applications . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j

Chicago Manual of Style (16th Edition):

Matthews, Logan Ryan. “Advancing Robust Optimization for Process Systems Engineering Applications .” 2018. Doctoral Dissertation, Princeton University. Accessed November 15, 2019. http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j.

MLA Handbook (7th Edition):

Matthews, Logan Ryan. “Advancing Robust Optimization for Process Systems Engineering Applications .” 2018. Web. 15 Nov 2019.

Vancouver:

Matthews LR. Advancing Robust Optimization for Process Systems Engineering Applications . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2019 Nov 15]. Available from: http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j.

Council of Science Editors:

Matthews LR. Advancing Robust Optimization for Process Systems Engineering Applications . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp01hh63sz60j


Penn State University

7. Portillo Bollat, Rodolfo Carlos. Resilient Global Supply Chain Network Design Optimization.

Degree: PhD, Industrial Engineering, 2008, Penn State University

 In addition to the financial measures used in supply chain structure decisions, there is a need to integrate customer service, disruption risk and other strategic… (more)

Subjects/Keywords: optimization under uncertainty; stochastic optimization; multi-criteria; multiple criteria; distribution network; network optimization; supply chain design; supply chain; exchange rate uncertainty; costs uncertainty; demand uncertainty; profitability optimization; profit optimization

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APA (6th Edition):

Portillo Bollat, R. C. (2008). Resilient Global Supply Chain Network Design Optimization. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8932

Chicago Manual of Style (16th Edition):

Portillo Bollat, Rodolfo Carlos. “Resilient Global Supply Chain Network Design Optimization.” 2008. Doctoral Dissertation, Penn State University. Accessed November 15, 2019. https://etda.libraries.psu.edu/catalog/8932.

MLA Handbook (7th Edition):

Portillo Bollat, Rodolfo Carlos. “Resilient Global Supply Chain Network Design Optimization.” 2008. Web. 15 Nov 2019.

Vancouver:

Portillo Bollat RC. Resilient Global Supply Chain Network Design Optimization. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2019 Nov 15]. Available from: https://etda.libraries.psu.edu/catalog/8932.

Council of Science Editors:

Portillo Bollat RC. Resilient Global Supply Chain Network Design Optimization. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8932


University of Manitoba

8. Afshari, Hamid. Multi-objective optimal design of sustainable products and systems under uncertainty.

Degree: Mechanical Engineering, 2016, University of Manitoba

 Sustainable approaches have been extensively proposed in product, process and system levels. However, a lack of applicable solutions for these methods is identified in the… (more)

Subjects/Keywords: Product Design, Sustainability; Optimization under uncertainty; Eco-industrial Parks

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APA (6th Edition):

Afshari, H. (2016). Multi-objective optimal design of sustainable products and systems under uncertainty. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31959

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):

Afshari, Hamid. “Multi-objective optimal design of sustainable products and systems under uncertainty.” 2016. Thesis, University of Manitoba. Accessed November 15, 2019. http://hdl.handle.net/1993/31959.

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

MLA Handbook (7th Edition):

Afshari, Hamid. “Multi-objective optimal design of sustainable products and systems under uncertainty.” 2016. Web. 15 Nov 2019.

Vancouver:

Afshari H. Multi-objective optimal design of sustainable products and systems under uncertainty. [Internet] [Thesis]. University of Manitoba; 2016. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1993/31959.

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

Council of Science Editors:

Afshari H. Multi-objective optimal design of sustainable products and systems under uncertainty. [Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31959

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


Virginia Tech

9. Freeman, Jacob Andrew. Optimization Under Uncertainty and Total Predictive Uncertainty for a Tractor-Trailer Base-Drag Reduction Device.

Degree: PhD, Aerospace and Ocean Engineering, 2012, Virginia Tech

 One key outcome of this research is the design for a 3-D tractor-trailer base-drag reduction device that predicts a 41% reduction in wind-averaged drag coefficient… (more)

Subjects/Keywords: aerodynamic shape optimization; optimization under uncertainty; predictive uncertainty; verification and validation; drag reduction; evolutionary algorithm; uncertainty quantification

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APA (6th Edition):

Freeman, J. A. (2012). Optimization Under Uncertainty and Total Predictive Uncertainty for a Tractor-Trailer Base-Drag Reduction Device. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77168

Chicago Manual of Style (16th Edition):

Freeman, Jacob Andrew. “Optimization Under Uncertainty and Total Predictive Uncertainty for a Tractor-Trailer Base-Drag Reduction Device.” 2012. Doctoral Dissertation, Virginia Tech. Accessed November 15, 2019. http://hdl.handle.net/10919/77168.

MLA Handbook (7th Edition):

Freeman, Jacob Andrew. “Optimization Under Uncertainty and Total Predictive Uncertainty for a Tractor-Trailer Base-Drag Reduction Device.” 2012. Web. 15 Nov 2019.

Vancouver:

Freeman JA. Optimization Under Uncertainty and Total Predictive Uncertainty for a Tractor-Trailer Base-Drag Reduction Device. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/10919/77168.

Council of Science Editors:

Freeman JA. Optimization Under Uncertainty and Total Predictive Uncertainty for a Tractor-Trailer Base-Drag Reduction Device. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/77168


Georgia Tech

10. Ghosh, Sayan. Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty.

Degree: PhD, Aerospace Engineering, 2016, Georgia Tech

Uncertainty based Multidisciplinary Optimization (UMDO) relies on propagation of uncertainties across several disciplines. A typical aircraft design process involves collaboration of multiple and diverse teams… (more)

Subjects/Keywords: Uncertainty quantification; Multidisciplinary design optimization; MDO; Design optimization; Quantile regression; Copula; Statistical dependence; Design under uncertainty; Concurrent optimization

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APA (6th Edition):

Ghosh, S. (2016). Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56302

Chicago Manual of Style (16th Edition):

Ghosh, Sayan. “Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty.” 2016. Doctoral Dissertation, Georgia Tech. Accessed November 15, 2019. http://hdl.handle.net/1853/56302.

MLA Handbook (7th Edition):

Ghosh, Sayan. “Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty.” 2016. Web. 15 Nov 2019.

Vancouver:

Ghosh S. Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1853/56302.

Council of Science Editors:

Ghosh S. Concurrent optimization using probabilistic analysis of distributed multidisciplinary architectures for design under uncertainty. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56302


University of Waterloo

11. Im, Jiyoung. Sensitivity Analysis and Robust Optimization: A Geometric Approach for the Special Case of Linear Optimization.

Degree: 2018, University of Waterloo

 In this thesis, we study the special case of linear optimization to show what may affect the sensitivity of the optimal value function under data… (more)

Subjects/Keywords: sensitivity analysis; linear programming; robust optimization; polyhedral theory; optimization under data uncertainty

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APA (6th Edition):

Im, J. (2018). Sensitivity Analysis and Robust Optimization: A Geometric Approach for the Special Case of Linear Optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14282

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):

Im, Jiyoung. “Sensitivity Analysis and Robust Optimization: A Geometric Approach for the Special Case of Linear Optimization.” 2018. Thesis, University of Waterloo. Accessed November 15, 2019. http://hdl.handle.net/10012/14282.

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

MLA Handbook (7th Edition):

Im, Jiyoung. “Sensitivity Analysis and Robust Optimization: A Geometric Approach for the Special Case of Linear Optimization.” 2018. Web. 15 Nov 2019.

Vancouver:

Im J. Sensitivity Analysis and Robust Optimization: A Geometric Approach for the Special Case of Linear Optimization. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/10012/14282.

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

Council of Science Editors:

Im J. Sensitivity Analysis and Robust Optimization: A Geometric Approach for the Special Case of Linear Optimization. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/14282

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


University of Oklahoma

12. Almaraj, Ismail. An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production.

Degree: PhD, 2019, University of Oklahoma

 Modeling robust closed- loop supply chain under multiple uncertainties and multiple criteria where imperfect quality production is incorporated is a new research trend in this… (more)

Subjects/Keywords: Operations Research; Robust Optimization; Production Systems and Supply Chain Management; Optimization under Uncertainty

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APA (6th Edition):

Almaraj, I. (2019). An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319573

Chicago Manual of Style (16th Edition):

Almaraj, Ismail. “An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed November 15, 2019. http://hdl.handle.net/11244/319573.

MLA Handbook (7th Edition):

Almaraj, Ismail. “An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production.” 2019. Web. 15 Nov 2019.

Vancouver:

Almaraj I. An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/11244/319573.

Council of Science Editors:

Almaraj I. An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/319573


Princeton University

13. Guzman, Yannis Antonio. Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery .

Degree: PhD, 2016, Princeton University

 This dissertation advances the field of optimization by providing theoretical advances in robust optimization, feature selection, and biomarker discovery. A number of bounds and expressions… (more)

Subjects/Keywords: Biomarker discovery; Feature selection; Mathematical optimization; Optimization under uncertainty; Support vector machines

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APA (6th Edition):

Guzman, Y. A. (2016). Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp015h73pz55w

Chicago Manual of Style (16th Edition):

Guzman, Yannis Antonio. “Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery .” 2016. Doctoral Dissertation, Princeton University. Accessed November 15, 2019. http://arks.princeton.edu/ark:/88435/dsp015h73pz55w.

MLA Handbook (7th Edition):

Guzman, Yannis Antonio. “Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery .” 2016. Web. 15 Nov 2019.

Vancouver:

Guzman YA. Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2019 Nov 15]. Available from: http://arks.princeton.edu/ark:/88435/dsp015h73pz55w.

Council of Science Editors:

Guzman YA. Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp015h73pz55w


University of Michigan

14. Guo, Yuanyuan. Data-Driven Distributionally Robust Optimization for Power System Operations.

Degree: PhD, Industrial & Operations Engineering, 2019, University of Michigan

 Decisions are often made in an uncertain environment. For example, in power system operations, decision makers need to schedule generators without the accurate outcome of… (more)

Subjects/Keywords: Optimization under Uncertainty; Distributionally Robust Optimization; Power System Operations; Industrial and Operations Engineering; Engineering

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APA (6th Edition):

Guo, Y. (2019). Data-Driven Distributionally Robust Optimization for Power System Operations. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151535

Chicago Manual of Style (16th Edition):

Guo, Yuanyuan. “Data-Driven Distributionally Robust Optimization for Power System Operations.” 2019. Doctoral Dissertation, University of Michigan. Accessed November 15, 2019. http://hdl.handle.net/2027.42/151535.

MLA Handbook (7th Edition):

Guo, Yuanyuan. “Data-Driven Distributionally Robust Optimization for Power System Operations.” 2019. Web. 15 Nov 2019.

Vancouver:

Guo Y. Data-Driven Distributionally Robust Optimization for Power System Operations. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2027.42/151535.

Council of Science Editors:

Guo Y. Data-Driven Distributionally Robust Optimization for Power System Operations. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151535


The Ohio State University

15. Rahimian, Hamed. Risk-Averse and Distributionally Robust Optimization:Methodology and Applications.

Degree: PhD, Industrial and Systems Engineering, 2018, The Ohio State University

 Many decision-making problems arising in science, engineering, and business involveuncertainties. One way to address these problems is to use stochastic optimization.A crucial task when building… (more)

Subjects/Keywords: Operations Research; Industrial Engineering; Decision-Making under Uncertainty, Mathematical Programming, Stochastic Optimization, Risk-Averse Optimization, Distributionally Robust Optimization

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APA (6th Edition):

Rahimian, H. (2018). Risk-Averse and Distributionally Robust Optimization:Methodology and Applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766

Chicago Manual of Style (16th Edition):

Rahimian, Hamed. “Risk-Averse and Distributionally Robust Optimization:Methodology and Applications.” 2018. Doctoral Dissertation, The Ohio State University. Accessed November 15, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766.

MLA Handbook (7th Edition):

Rahimian, Hamed. “Risk-Averse and Distributionally Robust Optimization:Methodology and Applications.” 2018. Web. 15 Nov 2019.

Vancouver:

Rahimian H. Risk-Averse and Distributionally Robust Optimization:Methodology and Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Nov 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766.

Council of Science Editors:

Rahimian H. Risk-Averse and Distributionally Robust Optimization:Methodology and Applications. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766


Rice University

16. Takhtaganov, Timur. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs.

Degree: PhD, Engineering, 2017, Rice University

 The scope of this thesis is the assessment and design of structure-exploiting methods for the efficient estimation of risk measures of quantities of interest in… (more)

Subjects/Keywords: optimization under uncertainty; PDE-constrained optimization; risk-averse optimization; risk measures; importance sampling; reduced order models; conditional value-at-risk

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APA (6th Edition):

Takhtaganov, T. (2017). Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105454

Chicago Manual of Style (16th Edition):

Takhtaganov, Timur. “Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs.” 2017. Doctoral Dissertation, Rice University. Accessed November 15, 2019. http://hdl.handle.net/1911/105454.

MLA Handbook (7th Edition):

Takhtaganov, Timur. “Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs.” 2017. Web. 15 Nov 2019.

Vancouver:

Takhtaganov T. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1911/105454.

Council of Science Editors:

Takhtaganov T. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105454


Texas A&M University

17. Zhu, Yu. Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes.

Degree: 2011, Texas A&M University

 Large scale nonlinear programming (NLP) has proven to be an effective framework for obtaining profit gains through optimal process design and operations in chemical engineering.… (more)

Subjects/Keywords: nonlinear optimization; air separation; design under uncertainty; parallel algorithm; water network; rigorous model

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APA (6th Edition):

Zhu, Y. (2011). Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9093

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):

Zhu, Yu. “Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes.” 2011. Thesis, Texas A&M University. Accessed November 15, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9093.

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

MLA Handbook (7th Edition):

Zhu, Yu. “Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes.” 2011. Web. 15 Nov 2019.

Vancouver:

Zhu Y. Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9093.

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

Council of Science Editors:

Zhu Y. Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9093

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


University of Southern California

18. Kwak, Jun‐young. The power of flexibility: autonomous agents that conserve energy in commercial buildings.

Degree: PhD, Computer Science, 2014, University of Southern California

 Agent‐based systems for energy conservation are now a growing area of research in multiagent systems, with applications ranging from energy management and control on the… (more)

Subjects/Keywords: energy conservation; fair division; multiagent systems; planning/scheduling under uncertainty; robust optimization; user incentivization

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APA (6th Edition):

Kwak, J. (2014). The power of flexibility: autonomous agents that conserve energy in commercial buildings. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/360260/rec/7109

Chicago Manual of Style (16th Edition):

Kwak, Jun‐young. “The power of flexibility: autonomous agents that conserve energy in commercial buildings.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 15, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/360260/rec/7109.

MLA Handbook (7th Edition):

Kwak, Jun‐young. “The power of flexibility: autonomous agents that conserve energy in commercial buildings.” 2014. Web. 15 Nov 2019.

Vancouver:

Kwak J. The power of flexibility: autonomous agents that conserve energy in commercial buildings. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 15]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/360260/rec/7109.

Council of Science Editors:

Kwak J. The power of flexibility: autonomous agents that conserve energy in commercial buildings. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/360260/rec/7109


University of Illinois – Chicago

19. Parikh, Dev. Stochastic Optimization To Reduce Cost Of Energy In Parabolic Trough Solar Power Plants.

Degree: 2016, University of Illinois – Chicago

 The need for clean and cheap renewable energy is on the rise. Solar energy is one of the most clean and readily available technology with… (more)

Subjects/Keywords: optimization under uncertainty; SAM; BONUS; parabolic trough solar technology; levelized cost of energy

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APA (6th Edition):

Parikh, D. (2016). Stochastic Optimization To Reduce Cost Of Energy In Parabolic Trough Solar Power Plants. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21189

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):

Parikh, Dev. “Stochastic Optimization To Reduce Cost Of Energy In Parabolic Trough Solar Power Plants.” 2016. Thesis, University of Illinois – Chicago. Accessed November 15, 2019. http://hdl.handle.net/10027/21189.

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

MLA Handbook (7th Edition):

Parikh, Dev. “Stochastic Optimization To Reduce Cost Of Energy In Parabolic Trough Solar Power Plants.” 2016. Web. 15 Nov 2019.

Vancouver:

Parikh D. Stochastic Optimization To Reduce Cost Of Energy In Parabolic Trough Solar Power Plants. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/10027/21189.

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

Council of Science Editors:

Parikh D. Stochastic Optimization To Reduce Cost Of Energy In Parabolic Trough Solar Power Plants. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/21189

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


Princeton University

20. Xian, Siyuan. COASTAL FLOOD RESILIENCE ANALYSIS FOR COMMUNITIES AND MEGACITIES .

Degree: PhD, 2018, Princeton University

 Coastal regions are subject to threats, especially storm surge flooding, extreme winds, and heavy rainfall. These impacts will likely become more severe with the coupled… (more)

Subjects/Keywords: Coastal city protection; Damage assessment; Decision making under uncertainty; Flood risk management; Optimization; Statistical modeling

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

APA (6th Edition):

Xian, S. (2018). COASTAL FLOOD RESILIENCE ANALYSIS FOR COMMUNITIES AND MEGACITIES . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp013r074x653

Chicago Manual of Style (16th Edition):

Xian, Siyuan. “COASTAL FLOOD RESILIENCE ANALYSIS FOR COMMUNITIES AND MEGACITIES .” 2018. Doctoral Dissertation, Princeton University. Accessed November 15, 2019. http://arks.princeton.edu/ark:/88435/dsp013r074x653.

MLA Handbook (7th Edition):

Xian, Siyuan. “COASTAL FLOOD RESILIENCE ANALYSIS FOR COMMUNITIES AND MEGACITIES .” 2018. Web. 15 Nov 2019.

Vancouver:

Xian S. COASTAL FLOOD RESILIENCE ANALYSIS FOR COMMUNITIES AND MEGACITIES . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2019 Nov 15]. Available from: http://arks.princeton.edu/ark:/88435/dsp013r074x653.

Council of Science Editors:

Xian S. COASTAL FLOOD RESILIENCE ANALYSIS FOR COMMUNITIES AND MEGACITIES . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp013r074x653


University of Cambridge

21. Cook, Laurence William. Effective formulations of optimization under uncertainty for aerospace design.

Degree: PhD, 2018, University of Cambridge

 Formulations of optimization under uncertainty (OUU) commonly used in aerospace design—those based on treating statistical moments of the quantity of interest (QOI) as separate objectives—can… (more)

Subjects/Keywords: Optimization; Robust Optimization; Optimization Under Uncertainty; Design; Design Optimization; Aerospace Design; Aerofoil Design; Uncertainty Quantification; Monte Carlo; Multi-Fidelity; Information Reuse; Wing Design; Aero-Structural Design

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

APA (6th Edition):

Cook, L. W. (2018). Effective formulations of optimization under uncertainty for aerospace design. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/276146 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871

Chicago Manual of Style (16th Edition):

Cook, Laurence William. “Effective formulations of optimization under uncertainty for aerospace design.” 2018. Doctoral Dissertation, University of Cambridge. Accessed November 15, 2019. https://www.repository.cam.ac.uk/handle/1810/276146 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871.

MLA Handbook (7th Edition):

Cook, Laurence William. “Effective formulations of optimization under uncertainty for aerospace design.” 2018. Web. 15 Nov 2019.

Vancouver:

Cook LW. Effective formulations of optimization under uncertainty for aerospace design. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Nov 15]. Available from: https://www.repository.cam.ac.uk/handle/1810/276146 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871.

Council of Science Editors:

Cook LW. Effective formulations of optimization under uncertainty for aerospace design. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/276146 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744871


Iowa State University

22. Chen, Le. Wind farm layout optimization under uncertainty with landowners' financial and noise concerns.

Degree: 2013, Iowa State University

 Current wind farm layout research focuses on advancing optimization methods. The research includes the assumption that a continuous piece of land is readily available. In… (more)

Subjects/Keywords: cost-of-energy; landowners; noise; optimization under uncertainty; remittance fees; wind farm layout optimization; Mechanical Engineering

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APA (6th Edition):

Chen, L. (2013). Wind farm layout optimization under uncertainty with landowners' financial and noise concerns. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13502

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):

Chen, Le. “Wind farm layout optimization under uncertainty with landowners' financial and noise concerns.” 2013. Thesis, Iowa State University. Accessed November 15, 2019. https://lib.dr.iastate.edu/etd/13502.

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

MLA Handbook (7th Edition):

Chen, Le. “Wind farm layout optimization under uncertainty with landowners' financial and noise concerns.” 2013. Web. 15 Nov 2019.

Vancouver:

Chen L. Wind farm layout optimization under uncertainty with landowners' financial and noise concerns. [Internet] [Thesis]. Iowa State University; 2013. [cited 2019 Nov 15]. Available from: https://lib.dr.iastate.edu/etd/13502.

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

Council of Science Editors:

Chen L. Wind farm layout optimization under uncertainty with landowners' financial and noise concerns. [Thesis]. Iowa State University; 2013. Available from: https://lib.dr.iastate.edu/etd/13502

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


University of Alabama

23. Fontem, Belleh. New models for homeland security and public safety.

Degree: 2014, University of Alabama

 The standard approach to mathematical optimization is to construct models which assume 1) perfect knowledge of the algebraic form of the optimizable function, and 2)… (more)

Subjects/Keywords: Electronic Thesis or Dissertation;  – thesis; Operations research; Management; Emergency response; Optimization under uncertainty; Stochastic resource allocation

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

APA (6th Edition):

Fontem, B. (2014). New models for homeland security and public safety. (Thesis). University of Alabama. Retrieved from http://purl.lib.ua.edu/116194

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):

Fontem, Belleh. “New models for homeland security and public safety.” 2014. Thesis, University of Alabama. Accessed November 15, 2019. http://purl.lib.ua.edu/116194.

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

MLA Handbook (7th Edition):

Fontem, Belleh. “New models for homeland security and public safety.” 2014. Web. 15 Nov 2019.

Vancouver:

Fontem B. New models for homeland security and public safety. [Internet] [Thesis]. University of Alabama; 2014. [cited 2019 Nov 15]. Available from: http://purl.lib.ua.edu/116194.

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

Council of Science Editors:

Fontem B. New models for homeland security and public safety. [Thesis]. University of Alabama; 2014. Available from: http://purl.lib.ua.edu/116194

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


University of California – Berkeley

24. Yoon, Yoonjin. A Probabilistic Approach to the Air Traffic Management in The Next Generation Air Transportation System: Optimal Routing Decision With Geometric Recourse Model.

Degree: Civil and Environmental Engineering, 2010, University of California – Berkeley

 There has been growing interest in air transportation community to develop a routing decision model based on probabilistic characterization of severe weather. In the probabilistic… (more)

Subjects/Keywords: Transportation; Aerospace Engineering; Industrial Engineering; Air traffic management; geometric model; optimal routing under weather uncertainty; stochastic optimization

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

APA (6th Edition):

Yoon, Y. (2010). A Probabilistic Approach to the Air Traffic Management in The Next Generation Air Transportation System: Optimal Routing Decision With Geometric Recourse Model. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/5h51z705

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):

Yoon, Yoonjin. “A Probabilistic Approach to the Air Traffic Management in The Next Generation Air Transportation System: Optimal Routing Decision With Geometric Recourse Model.” 2010. Thesis, University of California – Berkeley. Accessed November 15, 2019. http://www.escholarship.org/uc/item/5h51z705.

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

MLA Handbook (7th Edition):

Yoon, Yoonjin. “A Probabilistic Approach to the Air Traffic Management in The Next Generation Air Transportation System: Optimal Routing Decision With Geometric Recourse Model.” 2010. Web. 15 Nov 2019.

Vancouver:

Yoon Y. A Probabilistic Approach to the Air Traffic Management in The Next Generation Air Transportation System: Optimal Routing Decision With Geometric Recourse Model. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Nov 15]. Available from: http://www.escholarship.org/uc/item/5h51z705.

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

Council of Science Editors:

Yoon Y. A Probabilistic Approach to the Air Traffic Management in The Next Generation Air Transportation System: Optimal Routing Decision With Geometric Recourse Model. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/5h51z705

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


University of Illinois – Chicago

25. Dige, Nishant S. Efficient Sampling Algorithm for Optimization Under Uncertainty.

Degree: 2016, University of Illinois – Chicago

Uncertainty is a part of a real world optimization problem. Computational speed is critical in optimizing large scale stochastic problems. The major bottleneck in solving… (more)

Subjects/Keywords: Sampling; Quasi Sequence Sampling; Sobol Sampling; Optimization under uncertainty; LHS-Sobol sampling; stochastic supply chain network problem

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APA (6th Edition):

Dige, N. S. (2016). Efficient Sampling Algorithm for Optimization Under Uncertainty. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/20833

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):

Dige, Nishant S. “Efficient Sampling Algorithm for Optimization Under Uncertainty.” 2016. Thesis, University of Illinois – Chicago. Accessed November 15, 2019. http://hdl.handle.net/10027/20833.

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

MLA Handbook (7th Edition):

Dige, Nishant S. “Efficient Sampling Algorithm for Optimization Under Uncertainty.” 2016. Web. 15 Nov 2019.

Vancouver:

Dige NS. Efficient Sampling Algorithm for Optimization Under Uncertainty. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/10027/20833.

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

Council of Science Editors:

Dige NS. Efficient Sampling Algorithm for Optimization Under Uncertainty. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/20833

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


University of South Florida

26. Tsegaye, Seneshaw Amare. Flexible Urban Water Distribution Systems.

Degree: 2013, University of South Florida

 With increasing global change pressures such as urbanization and climate change, cities of the future will experience difficulties in efficiently managing scarcer and less reliable… (more)

Subjects/Keywords: Decentralized Water Distribution Systems; Decision Making Under Uncertainty; Flexibility Optimization; Genetic Algorithm; Uncertainties; Civil Engineering; Climate; Water Resource Management

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

APA (6th Edition):

Tsegaye, S. A. (2013). Flexible Urban Water Distribution Systems. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/4597

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):

Tsegaye, Seneshaw Amare. “Flexible Urban Water Distribution Systems.” 2013. Thesis, University of South Florida. Accessed November 15, 2019. https://scholarcommons.usf.edu/etd/4597.

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

MLA Handbook (7th Edition):

Tsegaye, Seneshaw Amare. “Flexible Urban Water Distribution Systems.” 2013. Web. 15 Nov 2019.

Vancouver:

Tsegaye SA. Flexible Urban Water Distribution Systems. [Internet] [Thesis]. University of South Florida; 2013. [cited 2019 Nov 15]. Available from: https://scholarcommons.usf.edu/etd/4597.

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

Council of Science Editors:

Tsegaye SA. Flexible Urban Water Distribution Systems. [Thesis]. University of South Florida; 2013. Available from: https://scholarcommons.usf.edu/etd/4597

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


University of Michigan

27. Meisami, Amirhossein. Integrated Machine Learning and Optimization Frameworks with Applications in Operations Management.

Degree: PhD, Industrial & Operations Engineering, 2018, University of Michigan

 Incorporation of contextual inference in the optimality analysis of operational problems is a canonical characteristic of data-informed decision making that requires interdisciplinary research. In an… (more)

Subjects/Keywords: Integrated Learning and Optimization; Critical Care Admission Control; Individualized Scheduling; Sequential Learning under Uncertainty; Industrial and Operations Engineering; Engineering

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

APA (6th Edition):

Meisami, A. (2018). Integrated Machine Learning and Optimization Frameworks with Applications in Operations Management. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145936

Chicago Manual of Style (16th Edition):

Meisami, Amirhossein. “Integrated Machine Learning and Optimization Frameworks with Applications in Operations Management.” 2018. Doctoral Dissertation, University of Michigan. Accessed November 15, 2019. http://hdl.handle.net/2027.42/145936.

MLA Handbook (7th Edition):

Meisami, Amirhossein. “Integrated Machine Learning and Optimization Frameworks with Applications in Operations Management.” 2018. Web. 15 Nov 2019.

Vancouver:

Meisami A. Integrated Machine Learning and Optimization Frameworks with Applications in Operations Management. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2027.42/145936.

Council of Science Editors:

Meisami A. Integrated Machine Learning and Optimization Frameworks with Applications in Operations Management. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145936


University of Michigan

28. Bray, Mathieu. Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Programs.

Degree: PhD, Biostatistics, 2018, University of Michigan

 Kidney Paired Donation (KPD) is a public health initiative wherein kidney transplant candidates with willing but incompatible donors are pooled together with the goal of… (more)

Subjects/Keywords: Kidney Paired Donation; Expected Utility; Optimization; Public Health; Decision-making Under Uncertainty; Public Health; Statistics and Numeric Data; Health Sciences; Science

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

APA (6th Edition):

Bray, M. (2018). Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Programs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149921

Chicago Manual of Style (16th Edition):

Bray, Mathieu. “Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Programs.” 2018. Doctoral Dissertation, University of Michigan. Accessed November 15, 2019. http://hdl.handle.net/2027.42/149921.

MLA Handbook (7th Edition):

Bray, Mathieu. “Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Programs.” 2018. Web. 15 Nov 2019.

Vancouver:

Bray M. Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Programs. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2027.42/149921.

Council of Science Editors:

Bray M. Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Programs. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/149921


University of Michigan

29. Zhang, Yiling. Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems.

Degree: PhD, Industrial & Operations Engineering, 2019, University of Michigan

 The primary focus of the dissertation is to develop distributionally robust optimization (DRO) models and related solution approaches for decision making in energy and healthcare… (more)

Subjects/Keywords: Optimization under Uncertainty; Nonlinear Programming; Integer Programming; Chance-constrained Binary Programs; Optimal Power Flow; Appointment Scheduling; Industrial and Operations Engineering; Engineering

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

APA (6th Edition):

Zhang, Y. (2019). Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149946

Chicago Manual of Style (16th Edition):

Zhang, Yiling. “Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems.” 2019. Doctoral Dissertation, University of Michigan. Accessed November 15, 2019. http://hdl.handle.net/2027.42/149946.

MLA Handbook (7th Edition):

Zhang, Yiling. “Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems.” 2019. Web. 15 Nov 2019.

Vancouver:

Zhang Y. Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2027.42/149946.

Council of Science Editors:

Zhang Y. Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149946


EPFL

30. Pisaroni, Michele. Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics.

Degree: 2017, EPFL

 The vast majority of problems that arise in aircraft production and operation require decisions to be made in the presence of uncertainty. An effective and… (more)

Subjects/Keywords: Uncertainty Quantification; Multi Level Monte Carlo; Continuation Multi Level Monte Carlo; Robust Design Optimization; Reliability-based Design Optimization; Optimization Under Uncertainties; Aeronautics; Aerodynamics

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APA (6th Edition):

Pisaroni, M. (2017). Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/232672

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):

Pisaroni, Michele. “Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics.” 2017. Thesis, EPFL. Accessed November 15, 2019. http://infoscience.epfl.ch/record/232672.

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

MLA Handbook (7th Edition):

Pisaroni, Michele. “Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics.” 2017. Web. 15 Nov 2019.

Vancouver:

Pisaroni M. Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics. [Internet] [Thesis]. EPFL; 2017. [cited 2019 Nov 15]. Available from: http://infoscience.epfl.ch/record/232672.

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

Council of Science Editors:

Pisaroni M. Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/232672

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

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