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You searched for subject:(chance constrained programming). Showing records 1 – 27 of 27 total matches.

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University of Texas – Austin

1. -6943-657X. Optimal spatiotemporal resource allocation in public health and renewable energy.

Degree: PhD, Operations Research & Industrial Engineering, 2016, University of Texas – Austin

 Optimizing the spatiotemporal allocation and distribution of a limited number of critical resources is a pervasive problem, concerning both government agencies and private companies. This… (more)

Subjects/Keywords: Stochastic optimization; Chance-constrained programming; Pumped-hydroelectric system; Public health

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APA (6th Edition):

-6943-657X. (2016). Optimal spatiotemporal resource allocation in public health and renewable energy. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/44589

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

Chicago Manual of Style (16th Edition):

-6943-657X. “Optimal spatiotemporal resource allocation in public health and renewable energy.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed April 16, 2021. http://hdl.handle.net/2152/44589.

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

MLA Handbook (7th Edition):

-6943-657X. “Optimal spatiotemporal resource allocation in public health and renewable energy.” 2016. Web. 16 Apr 2021.

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

Vancouver:

-6943-657X. Optimal spatiotemporal resource allocation in public health and renewable energy. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2152/44589.

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

Council of Science Editors:

-6943-657X. Optimal spatiotemporal resource allocation in public health and renewable energy. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/44589

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


Univerzitet u Beogradu

2. Marković, Stefan R. Оптимизационо-симулациони приступ решавању проблема стохастичког програмирања.

Degree: Fakultet organizacionih nauka, 2020, Univerzitet u Beogradu

Datum odbrane: 23. 9. 2019

Стохастичко програмирање је део операционих истраживања које се бави начином на који је могуће укључити неизвесност у процес доношења одлука… (more)

Subjects/Keywords: Stochastic programming; robust optimization; chance constrained programming; deterministic equivalent; simulation; scenario generation; heuristics

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APA (6th Edition):

Marković, S. R. (2020). Оптимизационо-симулациони приступ решавању проблема стохастичког програмирања. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:20971/bdef:Content/get

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):

Marković, Stefan R. “Оптимизационо-симулациони приступ решавању проблема стохастичког програмирања.” 2020. Thesis, Univerzitet u Beogradu. Accessed April 16, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:20971/bdef:Content/get.

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

MLA Handbook (7th Edition):

Marković, Stefan R. “Оптимизационо-симулациони приступ решавању проблема стохастичког програмирања.” 2020. Web. 16 Apr 2021.

Vancouver:

Marković SR. Оптимизационо-симулациони приступ решавању проблема стохастичког програмирања. [Internet] [Thesis]. Univerzitet u Beogradu; 2020. [cited 2021 Apr 16]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:20971/bdef:Content/get.

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

Council of Science Editors:

Marković SR. Оптимизационо-симулациони приступ решавању проблема стохастичког програмирања. [Thesis]. Univerzitet u Beogradu; 2020. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:20971/bdef:Content/get

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


Brunel University

3. 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 April 16, 2021. 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. 16 Apr 2021.

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 2021 Apr 16]. 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


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://submit-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 April 16, 2021. https://submit-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. 16 Apr 2021.

Vancouver:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 16]. Available from: https://submit-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://submit-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

5. 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 April 16, 2021. https://openprairie.sdstate.edu/etd/1854.

MLA Handbook (7th Edition):

Chaudhary, Damber. “Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing.” 2015. Web. 16 Apr 2021.

Vancouver:

Chaudhary D. Chance-Constrained Real-Time Volt/Var Optimization Using Simulated Annealing. [Internet] [Masters thesis]. South Dakota State University; 2015. [cited 2021 Apr 16]. 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


University of Michigan

6. 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 April 16, 2021. 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. 16 Apr 2021.

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 2021 Apr 16]. 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 Arizona

7. Karimi, Roya. Chance-Constrained Linear Matrix Inequality Optimization: Theory and Applications .

Degree: 2020, University of Arizona

 In this dissertation, we investigate chance-constrained linear matrix inequality (LMI) optimization problems that require stochastic LMI constraints to be satisfied with high probability. While chance-constrained(more)

Subjects/Keywords: bilinear matrix inequalities; Branch-and-Cut algorithms; chance-constrained programming; linear matrix inequalities; semidefinite programming; stochastic programming

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APA (6th Edition):

Karimi, R. (2020). Chance-Constrained Linear Matrix Inequality Optimization: Theory and Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/656797

Chicago Manual of Style (16th Edition):

Karimi, Roya. “Chance-Constrained Linear Matrix Inequality Optimization: Theory and Applications .” 2020. Doctoral Dissertation, University of Arizona. Accessed April 16, 2021. http://hdl.handle.net/10150/656797.

MLA Handbook (7th Edition):

Karimi, Roya. “Chance-Constrained Linear Matrix Inequality Optimization: Theory and Applications .” 2020. Web. 16 Apr 2021.

Vancouver:

Karimi R. Chance-Constrained Linear Matrix Inequality Optimization: Theory and Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10150/656797.

Council of Science Editors:

Karimi R. Chance-Constrained Linear Matrix Inequality Optimization: Theory and Applications . [Doctoral Dissertation]. University of Arizona; 2020. Available from: http://hdl.handle.net/10150/656797


University of Michigan

8. 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 April 16, 2021. 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. 16 Apr 2021.

Vancouver:

Zhang Y. Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2021 Apr 16]. 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


University of Michigan

9. 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 April 16, 2021. 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. 16 Apr 2021.

Vancouver:

Chen Z. Strategic Network Planning under Uncertainty with Two-Stage Stochastic Integer Programming. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Apr 16]. 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

10. 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 April 16, 2021. 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. 16 Apr 2021.

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 2021 Apr 16]. 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

11. 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 April 16, 2021. https://era.library.ualberta.ca/files/rn301424z.

MLA Handbook (7th Edition):

Li, Zhuangzhi. “Chance Constrained Optimization with Robust and Sampling Approximation.” 2015. Web. 16 Apr 2021.

Vancouver:

Li Z. Chance Constrained Optimization with Robust and Sampling Approximation. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2021 Apr 16]. 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


Texas A&M University

12. Modarresi, Mohammad Sadegh. A Scenario Approach for Operational Planning with Deep Renewables in Power Systems.

Degree: PhD, Electrical Engineering, 2019, Texas A&M University

 This work is both enabled by and motivated by the development of new resources and technologies into the power system market operation practice. On one… (more)

Subjects/Keywords: Chance constrained programming; demand response; economic dispatch; flexibility; electricity market; renewable generation; robust optimization; scenario approach

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APA (6th Edition):

Modarresi, M. S. (2019). A Scenario Approach for Operational Planning with Deep Renewables in Power Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187168

Chicago Manual of Style (16th Edition):

Modarresi, Mohammad Sadegh. “A Scenario Approach for Operational Planning with Deep Renewables in Power Systems.” 2019. Doctoral Dissertation, Texas A&M University. Accessed April 16, 2021. http://hdl.handle.net/1969.1/187168.

MLA Handbook (7th Edition):

Modarresi, Mohammad Sadegh. “A Scenario Approach for Operational Planning with Deep Renewables in Power Systems.” 2019. Web. 16 Apr 2021.

Vancouver:

Modarresi MS. A Scenario Approach for Operational Planning with Deep Renewables in Power Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1969.1/187168.

Council of Science Editors:

Modarresi MS. A Scenario Approach for Operational Planning with Deep Renewables in Power Systems. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/187168


University of Kentucky

13. 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 April 16, 2021. https://uknowledge.uky.edu/ece_etds/116.

MLA Handbook (7th Edition):

Ibrahim, Sarmad Khaleel. “DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION.” 2018. Web. 16 Apr 2021.

Vancouver:

Ibrahim SK. DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2021 Apr 16]. 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

14. 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 April 16, 2021. 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. 16 Apr 2021.

Vancouver:

Maalouf S. Planning and Design of Desalination Plants Effluent Systems. [Internet] [Thesis]. UCLA; 2014. [cited 2021 Apr 16]. 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

15. Kůdela, Jakub. Advanced Decomposition Methods in Stochastic Convex Optimization: Advanced Decomposition Methods in Stochastic Convex Optimization.

Degree: 2019, Brno University of Technology

 When working with stochastic programming problems, we frequently encounter optimization problems that are too large to be processed by routine methods of mathematical programming. However,… (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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kůdela, J. (2019). Advanced Decomposition Methods in Stochastic Convex Optimization: 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: Advanced Decomposition Methods in Stochastic Convex Optimization.” 2019. Thesis, Brno University of Technology. Accessed April 16, 2021. 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: Advanced Decomposition Methods in Stochastic Convex Optimization.” 2019. Web. 16 Apr 2021.

Vancouver:

Kůdela J. Advanced Decomposition Methods in Stochastic Convex Optimization: Advanced Decomposition Methods in Stochastic Convex Optimization. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 16]. 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: 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 Michigan

16. Joshi, Nikhil A. Methodologies for improving product development phases through PLM.

Degree: PhD, Mechanical engineering, 2007, University of Michigan

 Product designs are becoming increasingly complex; while at the same time product development is distributed amongst various stakeholders in the enterprise. Combined with these trends,… (more)

Subjects/Keywords: Chance-constrained Programming; Chance-constrained Programs; Dynamic Workflows; Improving; Methodologies; Phases; Plm; Product Development; Product Life Cycle Management; Product Lifecycle Management

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APA (6th Edition):

Joshi, N. A. (2007). Methodologies for improving product development phases through PLM. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126457

Chicago Manual of Style (16th Edition):

Joshi, Nikhil A. “Methodologies for improving product development phases through PLM.” 2007. Doctoral Dissertation, University of Michigan. Accessed April 16, 2021. http://hdl.handle.net/2027.42/126457.

MLA Handbook (7th Edition):

Joshi, Nikhil A. “Methodologies for improving product development phases through PLM.” 2007. Web. 16 Apr 2021.

Vancouver:

Joshi NA. Methodologies for improving product development phases through PLM. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2027.42/126457.

Council of Science Editors:

Joshi NA. Methodologies for improving product development phases through PLM. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126457


Penn State University

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

Degree: 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. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9709

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):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Thesis, Penn State University. Accessed April 16, 2021. https://submit-etda.libraries.psu.edu/catalog/9709.

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

MLA Handbook (7th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Web. 16 Apr 2021.

Vancouver:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Internet] [Thesis]. Penn State University; 2009. [cited 2021 Apr 16]. Available from: https://submit-etda.libraries.psu.edu/catalog/9709.

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

Council of Science Editors:

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

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


University of Oxford

18. 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 April 16, 2021. 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. 16 Apr 2021.

Vancouver:

Fleming J. Robust and stochastic MPC of uncertain-parameter systems. [Internet] [Doctoral dissertation]. University of Oxford; 2016. [cited 2021 Apr 16]. 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


Brno University of Technology

19. Mrázková, Eva. Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications.

Degree: 2019, Brno University of Technology

 Many optimum design problems in engineering areas lead to optimization models constrained by ordinary (ODE) or partial (PDE) differential equations, and furthermore, several elements of… (more)

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

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

APA (6th Edition):

Mrázková, E. (2019). Approximations in Stochastic Optimization and Their Applications: 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: Approximations in Stochastic Optimization and Their Applications.” 2019. Thesis, Brno University of Technology. Accessed April 16, 2021. 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: Approximations in Stochastic Optimization and Their Applications.” 2019. Web. 16 Apr 2021.

Vancouver:

Mrázková E. Approximations in Stochastic Optimization and Their Applications: Approximations in Stochastic Optimization and Their Applications. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 16]. 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: Approximations in Stochastic Optimization and Their Applications. [Thesis]. Brno University of Technology; 2019. 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 Maryland

20. Nair, Rahul. Design and Analysis of Vehicle Sharing Programs: A Systems Approach.

Degree: Civil Engineering, 2010, University of Maryland

 Transit, touted as a solution to urban mobility problems, cannot match the addictive flexibility of the automobile. 86% of all trips in the U.S. are… (more)

Subjects/Keywords: Transportation; Urban and Regional Planning; Engineering, Civil; Bicycle sharing; Bilevel programming; Car sharing; Chance constrained programming; Equilibrium network design; Stochastic optimization

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APA (6th Edition):

Nair, R. (2010). Design and Analysis of Vehicle Sharing Programs: A Systems Approach. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/10968

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):

Nair, Rahul. “Design and Analysis of Vehicle Sharing Programs: A Systems Approach.” 2010. Thesis, University of Maryland. Accessed April 16, 2021. http://hdl.handle.net/1903/10968.

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

MLA Handbook (7th Edition):

Nair, Rahul. “Design and Analysis of Vehicle Sharing Programs: A Systems Approach.” 2010. Web. 16 Apr 2021.

Vancouver:

Nair R. Design and Analysis of Vehicle Sharing Programs: A Systems Approach. [Internet] [Thesis]. University of Maryland; 2010. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1903/10968.

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

Council of Science Editors:

Nair R. Design and Analysis of Vehicle Sharing Programs: A Systems Approach. [Thesis]. University of Maryland; 2010. Available from: http://hdl.handle.net/1903/10968

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


University of Central Florida

21. 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 April 16, 2021. 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. 16 Apr 2021.

Vancouver:

Huang Y. Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm. [Internet] [Doctoral dissertation]. University of Central Florida; 2014. [cited 2021 Apr 16]. 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


University of Alberta

22. 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 April 16, 2021. 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. 16 Apr 2021.

Vancouver:

K D. Water Trading: Irrigation Technology Adoption and Economic Impact of Transboundary Water Reallocation. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2021 Apr 16]. 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


University of Houston

23. -4801-0852. Radiation Therapy Optimization Considering Uncertainties and Biological Effects.

Degree: PhD, Industrial Engineering, 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. (n.d.). Radiation Therapy Optimization Considering Uncertainties and Biological Effects. (Doctoral Dissertation). 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
No year of publication.

Chicago Manual of Style (16th Edition):

-4801-0852. “Radiation Therapy Optimization Considering Uncertainties and Biological Effects.” Doctoral Dissertation, University of Houston. Accessed April 16, 2021. http://hdl.handle.net/10657/3677.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

MLA Handbook (7th Edition):

-4801-0852. “Radiation Therapy Optimization Considering Uncertainties and Biological Effects.” Web. 16 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
No year of publication.

Vancouver:

-4801-0852. Radiation Therapy Optimization Considering Uncertainties and Biological Effects. [Internet] [Doctoral dissertation]. University of Houston; [cited 2021 Apr 16]. 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
No year of publication.

Council of Science Editors:

-4801-0852. Radiation Therapy Optimization Considering Uncertainties and Biological Effects. [Doctoral Dissertation]. University of Houston; 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
No year of publication.

24. Araújo, Julyana Kelly Tavares de. Otimização sob restrições probabilísticas: teoria e aplicações.

Degree: 2012, Universidade Federal da Paraí­ba; Programa de Pós Graduação em Engenharia de Produção; UFPB; BR; Engenharia de Produção

Made available in DSpace on 2015-05-08T14:53:29Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1355369 bytes, checksum: 9c8287916a30feac7e9a3d355e472d28 (MD5) Previous issue date: 2012-12-30

Made available in DSpace… (more)

Subjects/Keywords: Otimização Probabilísticas; Incertezas no Processo; Distribuição de Poisson; Serviços de Atendimento Médico de Urgências; Chance Constrained Programming; Uncertainties in Process; Poisson Distribution; Emergency Medical Care Production Services; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO

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APA (6th Edition):

Araújo, J. K. T. d. (2012). Otimização sob restrições probabilísticas: teoria e aplicações. (Masters Thesis). Universidade Federal da Paraí­ba; Programa de Pós Graduação em Engenharia de Produção; UFPB; BR; Engenharia de Produção. Retrieved from https://repositorio.ufpb.br/jspui/handle/tede/5236

Chicago Manual of Style (16th Edition):

Araújo, Julyana Kelly Tavares de. “Otimização sob restrições probabilísticas: teoria e aplicações.” 2012. Masters Thesis, Universidade Federal da Paraí­ba; Programa de Pós Graduação em Engenharia de Produção; UFPB; BR; Engenharia de Produção. Accessed April 16, 2021. https://repositorio.ufpb.br/jspui/handle/tede/5236.

MLA Handbook (7th Edition):

Araújo, Julyana Kelly Tavares de. “Otimização sob restrições probabilísticas: teoria e aplicações.” 2012. Web. 16 Apr 2021.

Vancouver:

Araújo JKTd. Otimização sob restrições probabilísticas: teoria e aplicações. [Internet] [Masters thesis]. Universidade Federal da Paraí­ba; Programa de Pós Graduação em Engenharia de Produção; UFPB; BR; Engenharia de Produção; 2012. [cited 2021 Apr 16]. Available from: https://repositorio.ufpb.br/jspui/handle/tede/5236.

Council of Science Editors:

Araújo JKTd. Otimização sob restrições probabilísticas: teoria e aplicações. [Masters Thesis]. Universidade Federal da Paraí­ba; Programa de Pós Graduação em Engenharia de Produção; UFPB; BR; Engenharia de Produção; 2012. Available from: https://repositorio.ufpb.br/jspui/handle/tede/5236

25. 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 (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 April 16, 2021. http://hdl.handle.net/1853/47567.

MLA Handbook (7th Edition):

Qiu, Feng. “Probabilistic covering problems.” 2013. Web. 16 Apr 2021.

Vancouver:

Qiu F. Probabilistic covering problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Apr 16]. 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


Indian Institute of Science

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

Degree: PhD, Faculty of Engineering, 2010, 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. (2010). Learning Algorithms Using Chance-Constrained Programs. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/733

Chicago Manual of Style (16th Edition):

Jagarlapudi, Saketha Nath. “Learning Algorithms Using Chance-Constrained Programs.” 2010. Doctoral Dissertation, Indian Institute of Science. Accessed April 16, 2021. http://etd.iisc.ac.in/handle/2005/733.

MLA Handbook (7th Edition):

Jagarlapudi, Saketha Nath. “Learning Algorithms Using Chance-Constrained Programs.” 2010. Web. 16 Apr 2021.

Vancouver:

Jagarlapudi SN. Learning Algorithms Using Chance-Constrained Programs. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2010. [cited 2021 Apr 16]. Available from: http://etd.iisc.ac.in/handle/2005/733.

Council of Science Editors:

Jagarlapudi SN. Learning Algorithms Using Chance-Constrained Programs. [Doctoral Dissertation]. Indian Institute of Science; 2010. Available from: http://etd.iisc.ac.in/handle/2005/733


University of South Africa

27. Adeyefa, Segun Adeyemi. Satisficing 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 (6th Edition):

Adeyefa, S. A. (2011). Satisficing 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. “Satisficing solutions for multiobjective stochastic linear programming problems .” 2011. Doctoral Dissertation, University of South Africa. Accessed April 16, 2021. http://hdl.handle.net/10500/5703.

MLA Handbook (7th Edition):

Adeyefa, Segun Adeyemi. “Satisficing solutions for multiobjective stochastic linear programming problems .” 2011. Web. 16 Apr 2021.

Vancouver:

Adeyefa SA. Satisficing solutions for multiobjective stochastic linear programming problems . [Internet] [Doctoral dissertation]. University of South Africa; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10500/5703.

Council of Science Editors:

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

.