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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

URL: http://hdl.handle.net/2152/44589

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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.

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

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

URL: https://fedorabg.bg.ac.rs/fedora/get/o:20971/bdef:Content/get

►

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://bura.brunel.ac.uk/handle/2438/7505 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575657

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://submit-etda.libraries.psu.edu/catalog/13313aim5346

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

5.
Chaudhary, Damber.
* Chance*-

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

URL: https://openprairie.sdstate.edu/etd/1854

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/120850

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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*-

Degree: 2020, University of Arizona

URL: http://hdl.handle.net/10150/656797

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/149946

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

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

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/120834

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.theses.fr/2017ARTO0208

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://era.library.ualberta.ca/files/rn301424z

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1969.1/187168

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://uknowledge.uky.edu/ece_etds/116

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/60f4s0qn

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/11012/180706

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2027.42/126457

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://submit-etda.libraries.psu.edu/catalog/9709

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://ora.ox.ac.uk/objects/uuid:c19ff07c-0756-45f6-977b-9d54a5214310 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730224

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/11012/1571

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1903/10968

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://stars.library.ucf.edu/etd/4812

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://era.library.ualberta.ca/files/1c18dg416

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10657/3677

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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.

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

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

URL: https://repositorio.ufpb.br/jspui/handle/tede/5236

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1853/47567

► 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…

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

Chicago Manual of Style (16^{th} Edition):

Qiu, Feng. “Probabilistic covering problems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed April 16, 2021. http://hdl.handle.net/1853/47567.

MLA Handbook (7^{th} 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

URL: http://etd.iisc.ac.in/handle/2005/733

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10500/5703

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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