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You searched for subject:(Chance constrained programming). Showing records 1 – 20 of 20 total matches.

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Penn State University

1. Solo, Christopher James. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.

Degree: PhD, Industrial Engineering, 2009, Penn State University

 This research involves the development of a flexible, multi-objective optimization tool for use by supply chain managers in the design and operation of manufacturing-distribution networks… (more)

Subjects/Keywords: supply chain; uncertainty; stochastic optimization; robust optimization; chance-constrained goal programming

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APA (6th Edition):

Solo, C. J. (2009). MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9709

Chicago Manual of Style (16th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Doctoral Dissertation, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/9709.

MLA Handbook (7th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Web. 07 Dec 2019.

Vancouver:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/9709.

Council of Science Editors:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9709


Brunel University

2. Sheikh Hussin, Siti Aida. Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty.

Degree: PhD, 2012, Brunel University

 We describe Employees Provident Funds (EPF) Malaysia. We explain about Defined Contribution and Defined Benefit Pension Funds and examine their similarities and differences. We also… (more)

Subjects/Keywords: 519.6; Stochastic optimisation; Pension fund; Scenario generation; Risk adjusted performance measures (RAPM); Chance constrained and integrated chance constraints programming

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APA (6th Edition):

Sheikh Hussin, S. A. (2012). Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7505 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575657

Chicago Manual of Style (16th Edition):

Sheikh Hussin, Siti Aida. “Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty.” 2012. Doctoral Dissertation, Brunel University. Accessed December 07, 2019. http://bura.brunel.ac.uk/handle/2438/7505 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575657.

MLA Handbook (7th Edition):

Sheikh Hussin, Siti Aida. “Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty.” 2012. Web. 07 Dec 2019.

Vancouver:

Sheikh Hussin SA. Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty. [Internet] [Doctoral dissertation]. Brunel University; 2012. [cited 2019 Dec 07]. Available from: http://bura.brunel.ac.uk/handle/2438/7505 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575657.

Council of Science Editors:

Sheikh Hussin SA. Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty. [Doctoral Dissertation]. Brunel University; 2012. Available from: http://bura.brunel.ac.uk/handle/2438/7505 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575657

3. Chaudhary, Damber. Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing.

Degree: MS, Electrical Engineering and Computer Science, 2015, South Dakota State University

  Existing electric distribution systems are designed to deliver power from distribution substations to consumer load centers. Since the last decade, distribution systems are revitalizing… (more)

Subjects/Keywords: Volt/var optimization; chance constrained programming; simulated annealing; smart PV inverter; and distribution power flow.

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APA (6th Edition):

Chaudhary, D. (2015). Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/1854

Chicago Manual of Style (16th Edition):

Chaudhary, Damber. “Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing.” 2015. Masters Thesis, South Dakota State University. Accessed December 07, 2019. https://openprairie.sdstate.edu/etd/1854.

MLA Handbook (7th Edition):

Chaudhary, Damber. “Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing.” 2015. Web. 07 Dec 2019.

Vancouver:

Chaudhary D. Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing. [Internet] [Masters thesis]. South Dakota State University; 2015. [cited 2019 Dec 07]. Available from: https://openprairie.sdstate.edu/etd/1854.

Council of Science Editors:

Chaudhary D. Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing. [Masters Thesis]. South Dakota State University; 2015. Available from: https://openprairie.sdstate.edu/etd/1854


Penn State University

4. Mohammadzadeh Jasour, Ashkan. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.

Degree: 2017, Penn State University

 This dissertation concentrates on chance constrained optimization problems and their application in systems and control area. In chance optimization problems, we aim at maximizing the… (more)

Subjects/Keywords: Chance Constrained; Convex Optimization; Semidefinite Programming; Measure and Moments; Polynomials; Sum of Squares Optimization; Duality

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APA (6th Edition):

Mohammadzadeh Jasour, A. (2017). Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13313aim5346

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):

Mohammadzadeh Jasour, Ashkan. “Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.” 2017. Thesis, Penn State University. Accessed December 07, 2019. https://etda.libraries.psu.edu/catalog/13313aim5346.

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

MLA Handbook (7th Edition):

Mohammadzadeh Jasour, Ashkan. “Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.” 2017. Web. 07 Dec 2019.

Vancouver:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Internet] [Thesis]. Penn State University; 2017. [cited 2019 Dec 07]. Available from: https://etda.libraries.psu.edu/catalog/13313aim5346.

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

Council of Science Editors:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Thesis]. Penn State University; 2017. Available from: https://etda.libraries.psu.edu/catalog/13313aim5346

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


University of Michigan

5. Deng, Yan. Decomposition Algorithms and Parallel Computing for Chance-constrained and Stochastic Integer Programs with Applications.

Degree: PhD, Industrial and Operations Engineering, 2016, University of Michigan

 The focus of this dissertation is to develop solution methods for stochastic programs with binary decisions and risk-averse features such as chance constraint or risk-minimizing… (more)

Subjects/Keywords: Stochastic integer programming; Decomposition algorithms; Chance-constrained programming; Risk-averse stochastic programming; Parallel computing; Industrial and Operations Engineering; Engineering

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APA (6th Edition):

Deng, Y. (2016). Decomposition Algorithms and Parallel Computing for Chance-constrained and Stochastic Integer Programs with Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120850

Chicago Manual of Style (16th Edition):

Deng, Yan. “Decomposition Algorithms and Parallel Computing for Chance-constrained and Stochastic Integer Programs with Applications.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 07, 2019. http://hdl.handle.net/2027.42/120850.

MLA Handbook (7th Edition):

Deng, Yan. “Decomposition Algorithms and Parallel Computing for Chance-constrained and Stochastic Integer Programs with Applications.” 2016. Web. 07 Dec 2019.

Vancouver:

Deng Y. Decomposition Algorithms and Parallel Computing for Chance-constrained and Stochastic Integer Programs with Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2027.42/120850.

Council of Science Editors:

Deng Y. Decomposition Algorithms and Parallel Computing for Chance-constrained and Stochastic Integer Programs with Applications. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120850


University of Michigan

6. Chen, Zhihao. Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming.

Degree: PhD, Industrial and Operations Engineering, 2016, University of Michigan

 This thesis proposes three risk-averse models applied under demand uncertainty: a chance-constrained approach to network design problems (NDPs), a distributionally robust approach to NDPs, and… (more)

Subjects/Keywords: Two-stage stochastic optimization; Chance-constrained programming; Distributionally robust optimization; Carsharing; Mixed-integer programming; Industrial and Operations Engineering; Engineering

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APA (6th Edition):

Chen, Z. (2016). Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120834

Chicago Manual of Style (16th Edition):

Chen, Zhihao. “Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 07, 2019. http://hdl.handle.net/2027.42/120834.

MLA Handbook (7th Edition):

Chen, Zhihao. “Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming.” 2016. Web. 07 Dec 2019.

Vancouver:

Chen Z. Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2027.42/120834.

Council of Science Editors:

Chen Z. Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120834


University of Michigan

7. 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 (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 December 07, 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. 07 Dec 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 Dec 07]. 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

8. Helal, Nathalie. An evidential answer for the capacitated vehicle routing problem with uncertain demands : Une réponse évidentielle pour le problème de tournée de véhicules avec contrainte de capacité et demandes incertaines.

Degree: Docteur es, Génie Informatique et Automatique, 2017, Université d'Artois

Le problème de tournées de véhicules avec contrainte de capacité est un problème important en optimisation combinatoire. L'objectif du problème est de déterminer l'ensemble des… (more)

Subjects/Keywords: Problème de tournées de véhicules; Demandes incertaines; "Chance constrained programming”; “Stochastic programming with recourse”; Théorie de l’évidence; Vehicle routing problem; Uncertain demands; Chance constrained programming; Stochastic programming with recourse; Evidence theory.; 620; 629.8

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APA (6th Edition):

Helal, N. (2017). An evidential answer for the capacitated vehicle routing problem with uncertain demands : Une réponse évidentielle pour le problème de tournée de véhicules avec contrainte de capacité et demandes incertaines. (Doctoral Dissertation). Université d'Artois. Retrieved from http://www.theses.fr/2017ARTO0208

Chicago Manual of Style (16th Edition):

Helal, Nathalie. “An evidential answer for the capacitated vehicle routing problem with uncertain demands : Une réponse évidentielle pour le problème de tournée de véhicules avec contrainte de capacité et demandes incertaines.” 2017. Doctoral Dissertation, Université d'Artois. Accessed December 07, 2019. http://www.theses.fr/2017ARTO0208.

MLA Handbook (7th Edition):

Helal, Nathalie. “An evidential answer for the capacitated vehicle routing problem with uncertain demands : Une réponse évidentielle pour le problème de tournée de véhicules avec contrainte de capacité et demandes incertaines.” 2017. Web. 07 Dec 2019.

Vancouver:

Helal N. An evidential answer for the capacitated vehicle routing problem with uncertain demands : Une réponse évidentielle pour le problème de tournée de véhicules avec contrainte de capacité et demandes incertaines. [Internet] [Doctoral dissertation]. Université d'Artois; 2017. [cited 2019 Dec 07]. Available from: http://www.theses.fr/2017ARTO0208.

Council of Science Editors:

Helal N. An evidential answer for the capacitated vehicle routing problem with uncertain demands : Une réponse évidentielle pour le problème de tournée de véhicules avec contrainte de capacité et demandes incertaines. [Doctoral Dissertation]. Université d'Artois; 2017. Available from: http://www.theses.fr/2017ARTO0208


University of Alberta

9. Li, Zhuangzhi. Chance Constrained Optimization with Robust and Sampling Approximation.

Degree: MS, Department of Chemical and Materials Engineering, 2015, University of Alberta

 Uncertainty is pervasive in various process operations problems. Its appearance spans from the detailed process description of multi-site manufacturing. In practical applications, there is a… (more)

Subjects/Keywords: Linear programming based scenario reduction method; Chance constrained optimization; Optimal robust counterpart optimization approximation; Sample average approximation with scenario reduction

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APA (6th Edition):

Li, Z. (2015). Chance Constrained Optimization with Robust and Sampling Approximation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/rn301424z

Chicago Manual of Style (16th Edition):

Li, Zhuangzhi. “Chance Constrained Optimization with Robust and Sampling Approximation.” 2015. Masters Thesis, University of Alberta. Accessed December 07, 2019. https://era.library.ualberta.ca/files/rn301424z.

MLA Handbook (7th Edition):

Li, Zhuangzhi. “Chance Constrained Optimization with Robust and Sampling Approximation.” 2015. Web. 07 Dec 2019.

Vancouver:

Li Z. Chance Constrained Optimization with Robust and Sampling Approximation. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Dec 07]. Available from: https://era.library.ualberta.ca/files/rn301424z.

Council of Science Editors:

Li Z. Chance Constrained Optimization with Robust and Sampling Approximation. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/rn301424z


University of Houston

10. -4801-0852. Radiation Therapy Optimization Considering Uncertainties and Biological Effects.

Degree: Industrial Engineering, Department of, 2016, University of Houston

 The goal in radiation therapy is to maximize tumor cell killing while minimizing toxic effects on surrounding healthy tissues. A treatment protocol is generally used… (more)

Subjects/Keywords: Radiation Therapy; Robust Optimization, Chance Constrained Programming; Relative Biological Effectiveness; Dose-Volume Histogram; Dose-Volume Constraint

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APA (6th Edition):

-4801-0852. (2016). Radiation Therapy Optimization Considering Uncertainties and Biological Effects. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3677

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

Chicago Manual of Style (16th Edition):

-4801-0852. “Radiation Therapy Optimization Considering Uncertainties and Biological Effects.” 2016. Thesis, University of Houston. Accessed December 07, 2019. http://hdl.handle.net/10657/3677.

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

MLA Handbook (7th Edition):

-4801-0852. “Radiation Therapy Optimization Considering Uncertainties and Biological Effects.” 2016. Web. 07 Dec 2019.

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

Vancouver:

-4801-0852. Radiation Therapy Optimization Considering Uncertainties and Biological Effects. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10657/3677.

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

Council of Science Editors:

-4801-0852. Radiation Therapy Optimization Considering Uncertainties and Biological Effects. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3677

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


University of Kentucky

11. Ibrahim, Sarmad Khaleel. DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION.

Degree: 2018, University of Kentucky

 In this dissertation, several volt-var optimization methods have been proposed to improve the expected performance of the distribution system using distributed renewable energy sources and… (more)

Subjects/Keywords: Distributed power generation; chance-constrained programming; renewable integration; reactive power optimization; voltage control; Power and Energy

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APA (6th Edition):

Ibrahim, S. K. (2018). DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/116

Chicago Manual of Style (16th Edition):

Ibrahim, Sarmad Khaleel. “DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION.” 2018. Doctoral Dissertation, University of Kentucky. Accessed December 07, 2019. https://uknowledge.uky.edu/ece_etds/116.

MLA Handbook (7th Edition):

Ibrahim, Sarmad Khaleel. “DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION.” 2018. Web. 07 Dec 2019.

Vancouver:

Ibrahim SK. DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2019 Dec 07]. Available from: https://uknowledge.uky.edu/ece_etds/116.

Council of Science Editors:

Ibrahim SK. DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION. [Doctoral Dissertation]. University of Kentucky; 2018. Available from: https://uknowledge.uky.edu/ece_etds/116


UCLA

12. Maalouf, Sami. Planning and Design of Desalination Plants Effluent Systems.

Degree: Civil Engineering, 2014, UCLA

 Increasing demand for water in urban areas and agricultural zones in arid and semi-arid coastal regions has urged planners and regulators to look for alternative… (more)

Subjects/Keywords: Civil engineering; Environmental engineering; Operations research; Chance-constrained programming (CCP); Coastal pollution; Marine outfall; Mixed-integer linear programming (MILP); Optimization; RO Desalination brine discharge

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APA (6th Edition):

Maalouf, S. (2014). Planning and Design of Desalination Plants Effluent Systems. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/60f4s0qn

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):

Maalouf, Sami. “Planning and Design of Desalination Plants Effluent Systems.” 2014. Thesis, UCLA. Accessed December 07, 2019. http://www.escholarship.org/uc/item/60f4s0qn.

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

MLA Handbook (7th Edition):

Maalouf, Sami. “Planning and Design of Desalination Plants Effluent Systems.” 2014. Web. 07 Dec 2019.

Vancouver:

Maalouf S. Planning and Design of Desalination Plants Effluent Systems. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Dec 07]. Available from: http://www.escholarship.org/uc/item/60f4s0qn.

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

Council of Science Editors:

Maalouf S. Planning and Design of Desalination Plants Effluent Systems. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/60f4s0qn

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


Brno University of Technology

13. Kůdela, Jakub. Advanced Decomposition Methods in Stochastic Convex Optimization .

Degree: 2019, Brno University of Technology

 Při práci s úlohami stochastického programování se často setkáváme s optimalizačními problémy, které jsou příliš rozsáhlé na to, aby byly zpracovány pomocí rutinních metod matematického… (more)

Subjects/Keywords: stochastická optimalizace; stochastické programování; dekompoziční metody; úlohy dvoustupňového stochastického programování; úlohy s pravděpodobnostním omezením; stochastic optimization; stochastic programming; decomposition methods; two-stage stochastic programming problems; chance constrained problems

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APA (6th Edition):

Kůdela, J. (2019). Advanced Decomposition Methods in Stochastic Convex Optimization . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180706

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):

Kůdela, Jakub. “Advanced Decomposition Methods in Stochastic Convex Optimization .” 2019. Thesis, Brno University of Technology. Accessed December 07, 2019. http://hdl.handle.net/11012/180706.

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

MLA Handbook (7th Edition):

Kůdela, Jakub. “Advanced Decomposition Methods in Stochastic Convex Optimization .” 2019. Web. 07 Dec 2019.

Vancouver:

Kůdela J. Advanced Decomposition Methods in Stochastic Convex Optimization . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/11012/180706.

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

Council of Science Editors:

Kůdela J. Advanced Decomposition Methods in Stochastic Convex Optimization . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180706

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


University of Oxford

14. Fleming, James. Robust and stochastic MPC of uncertain-parameter systems.

Degree: PhD, 2016, University of Oxford

 Constraint handling is difficult in model predictive control (MPC) of linear differential inclusions (LDIs) and linear parameter varying (LPV) systems. The designer is faced with… (more)

Subjects/Keywords: 629.8; Convex Optimization; Stochastic Control; Chance Constrained Programming; Robust Control; Model Predictive Control; Optimal Control; Control; Receding-horizon; Optimal; Convex; Robust; Stochastic; Optimisation; MPC; Tube MPC; Constraints

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APA (6th Edition):

Fleming, J. (2016). Robust and stochastic MPC of uncertain-parameter systems. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:c19ff07c-0756-45f6-977b-9d54a5214310 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730224

Chicago Manual of Style (16th Edition):

Fleming, James. “Robust and stochastic MPC of uncertain-parameter systems.” 2016. Doctoral Dissertation, University of Oxford. Accessed December 07, 2019. https://ora.ox.ac.uk/objects/uuid:c19ff07c-0756-45f6-977b-9d54a5214310 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730224.

MLA Handbook (7th Edition):

Fleming, James. “Robust and stochastic MPC of uncertain-parameter systems.” 2016. Web. 07 Dec 2019.

Vancouver:

Fleming J. Robust and stochastic MPC of uncertain-parameter systems. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2019 Dec 07]. Available from: https://ora.ox.ac.uk/objects/uuid:c19ff07c-0756-45f6-977b-9d54a5214310 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730224.

Council of Science Editors:

Fleming J. Robust and stochastic MPC of uncertain-parameter systems. [Doctoral Dissertation]. University of Oxford; 2016. Available from: https://ora.ox.ac.uk/objects/uuid:c19ff07c-0756-45f6-977b-9d54a5214310 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730224


University of South Africa

15. Adeyefa, Segun Adeyemi. Satisticing solutions for multiobjective stochastic linear programming problems .

Degree: 2011, University of South Africa

 Multiobjective Stochastic Linear Programming is a relevant topic. As a matter of fact, many real life problems ranging from portfolio selection to water resource management… (more)

Subjects/Keywords: Multiobjective programming; Stochastic programming; Linear programming; Satisfying solution; Chance constrained; Expected value optimality/efficiency; Variance optimality/efficiency; Expected value and standard deviation optimality/efficiency; Minimum risk optimality/efficiency; Optimality/efficiency with given probabilities; Fuzzy random variables; Random closed sets; Embedding theorem

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

APA (6th Edition):

Adeyefa, S. A. (2011). Satisticing solutions for multiobjective stochastic linear programming problems . (Doctoral Dissertation). University of South Africa. Retrieved from http://hdl.handle.net/10500/5703

Chicago Manual of Style (16th Edition):

Adeyefa, Segun Adeyemi. “Satisticing solutions for multiobjective stochastic linear programming problems .” 2011. Doctoral Dissertation, University of South Africa. Accessed December 07, 2019. http://hdl.handle.net/10500/5703.

MLA Handbook (7th Edition):

Adeyefa, Segun Adeyemi. “Satisticing solutions for multiobjective stochastic linear programming problems .” 2011. Web. 07 Dec 2019.

Vancouver:

Adeyefa SA. Satisticing solutions for multiobjective stochastic linear programming problems . [Internet] [Doctoral dissertation]. University of South Africa; 2011. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10500/5703.

Council of Science Editors:

Adeyefa SA. Satisticing solutions for multiobjective stochastic linear programming problems . [Doctoral Dissertation]. University of South Africa; 2011. Available from: http://hdl.handle.net/10500/5703


Brno University of Technology

16. Mrázková, Eva. Approximations in Stochastic Optimization and Their Applications .

Degree: 2010, Brno University of Technology

 Mnoho inženýrských úloh vede na optimalizační modely s~omezeními ve tvaru obyčejných (ODR) nebo parciálních (PDR) diferenciálních rovnic, přičemž jsou v praxi často některé parametry neurčité.… (more)

Subjects/Keywords: optimum engineering design; ODE and PDE constraints; stochastic programming; chance constrained programming; multi-objective programming; Monte Carlo method; progressive hedging algorithm; optimální inženýrský návrh; ODR a PDR omezení; stochastické programování; optimalizace s pravděpodobnostními omezeními; vícekriteriální optimalizace; metoda Monte Carlo; PHA algoritmus

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

APA (6th Edition):

Mrázková, E. (2010). Approximations in Stochastic Optimization and Their Applications . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/1571

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):

Mrázková, Eva. “Approximations in Stochastic Optimization and Their Applications .” 2010. Thesis, Brno University of Technology. Accessed December 07, 2019. http://hdl.handle.net/11012/1571.

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

MLA Handbook (7th Edition):

Mrázková, Eva. “Approximations in Stochastic Optimization and Their Applications .” 2010. Web. 07 Dec 2019.

Vancouver:

Mrázková E. Approximations in Stochastic Optimization and Their Applications . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/11012/1571.

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

Council of Science Editors:

Mrázková E. Approximations in Stochastic Optimization and Their Applications . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/1571

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


University of Central Florida

17. Huang, Yuping. Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm.

Degree: 2014, University of Central Florida

 As energy demands increase and energy resources change, the traditional energy system has been upgraded and reconstructed for human society development and sustainability. Considerable studies… (more)

Subjects/Keywords: Stochastic integer programming; chance constrained programming; benders decomposition; conditional value at risk; expansion planning; power system; unit commitment; operating reserve; Engineering; Industrial Engineering; Dissertations, Academic  – Engineering and Computer Science; Engineering and Computer Science  – Dissertations, Academic

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

APA (6th Edition):

Huang, Y. (2014). Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/4812

Chicago Manual of Style (16th Edition):

Huang, Yuping. “Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm.” 2014. Doctoral Dissertation, University of Central Florida. Accessed December 07, 2019. https://stars.library.ucf.edu/etd/4812.

MLA Handbook (7th Edition):

Huang, Yuping. “Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm.” 2014. Web. 07 Dec 2019.

Vancouver:

Huang Y. Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm. [Internet] [Doctoral dissertation]. University of Central Florida; 2014. [cited 2019 Dec 07]. Available from: https://stars.library.ucf.edu/etd/4812.

Council of Science Editors:

Huang Y. Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm. [Doctoral Dissertation]. University of Central Florida; 2014. Available from: https://stars.library.ucf.edu/etd/4812


Indian Institute of Science

18. Jagarlapudi, Saketha Nath. Learning Algorithms Using Chance-Constrained Programs.

Degree: 2008, Indian Institute of Science

 This thesis explores Chance-Constrained Programming (CCP) in the context of learning. It is shown that chance-constraint approaches lead to improved algorithms for three important learning… (more)

Subjects/Keywords: Machine Learning; Classification; Dataset Classification; Ordinal Regression (OR); Chance-Constrained Programming (CCP); Classification - Algorithms; Ordinal Regression - Algorithms; Machine Learning - Algorithms; Second Order Cone Programs (SOCPs); Maximum Margin Classification; Focused Crawling; Large Datasets; Error Rates; Computer Science

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

APA (6th Edition):

Jagarlapudi, S. N. (2008). Learning Algorithms Using Chance-Constrained Programs. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/733

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):

Jagarlapudi, Saketha Nath. “Learning Algorithms Using Chance-Constrained Programs.” 2008. Thesis, Indian Institute of Science. Accessed December 07, 2019. http://hdl.handle.net/2005/733.

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

MLA Handbook (7th Edition):

Jagarlapudi, Saketha Nath. “Learning Algorithms Using Chance-Constrained Programs.” 2008. Web. 07 Dec 2019.

Vancouver:

Jagarlapudi SN. Learning Algorithms Using Chance-Constrained Programs. [Internet] [Thesis]. Indian Institute of Science; 2008. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2005/733.

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

Council of Science Editors:

Jagarlapudi SN. Learning Algorithms Using Chance-Constrained Programs. [Thesis]. Indian Institute of Science; 2008. Available from: http://hdl.handle.net/2005/733

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


University of Alberta

19. Danso,George K. Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation.

Degree: PhD, Department of Resource Economics and Environmental Sociology, 2014, University of Alberta

 The overall purpose of the study is to evaluate how water trading could improve water use efficiency in southern Alberta, Canada and how benefits of… (more)

Subjects/Keywords: water market, technology adoption, stochasitc modeling, risks and uncertainity; farm level simulation, profit model, CGE model, chance constrained programming; Water trading,water markets, irrigation technology adoption, economic impacts,water reallocation, transboundary cooperation, benefits sharing,Nile River basin, Southern Alberta

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

APA (6th Edition):

K, D. (2014). Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/1c18dg416

Chicago Manual of Style (16th Edition):

K, Danso,George. “Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation.” 2014. Doctoral Dissertation, University of Alberta. Accessed December 07, 2019. https://era.library.ualberta.ca/files/1c18dg416.

MLA Handbook (7th Edition):

K, Danso,George. “Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation.” 2014. Web. 07 Dec 2019.

Vancouver:

K D. Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2019 Dec 07]. Available from: https://era.library.ualberta.ca/files/1c18dg416.

Council of Science Editors:

K D. Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/1c18dg416

20. Qiu, Feng. Probabilistic covering problems.

Degree: PhD, Industrial and Systems Engineering, 2013, Georgia Tech

 This dissertation studies optimization problems that involve probabilistic covering constraints. A probabilistic constraint evaluates and requires that the probability that a set of constraints involving… (more)

Subjects/Keywords: Optimization; Stochastic programming; Chance-constrained program; Mixed-integer program; Probabilistic program; Covering problem; Mathematical optimization; Linear programming

…x28;or chance constrained programs), i.e., min f (x) s.t. P{G(x, ζ… …constraint to each of the constraints individually. Probabilistically constrained programming was… …chance constrained problems as long as the underlying distribution can be sampled because the… …constrained (or chance-constrained) optimization approach to address covering problems… …integer programming (MIP) based schemes for CKVLP, we (i) introduce and… 

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

APA (6th Edition):

Qiu, F. (2013). Probabilistic covering problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47567

Chicago Manual of Style (16th Edition):

Qiu, Feng. “Probabilistic covering problems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed December 07, 2019. http://hdl.handle.net/1853/47567.

MLA Handbook (7th Edition):

Qiu, Feng. “Probabilistic covering problems.” 2013. Web. 07 Dec 2019.

Vancouver:

Qiu F. Probabilistic covering problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/1853/47567.

Council of Science Editors:

Qiu F. Probabilistic covering problems. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47567

.