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University of Southern California

1. Ye, Wei. Models and algorithms for energy efficient wireless sensor networks.

Degree: PhD, Industrial & Systems Engineering, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151

► Wireless Sensor Networks (WSNs) is an area of active *research* in industry and academia. WSNs can be used in a wide array of applications such…
(more)

Subjects/Keywords: wireless sensor networks; robust optimization; nonlinear optimization; operations research

Record Details Similar Records

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

APA (6^{th} Edition):

Ye, W. (2009). Models and algorithms for energy efficient wireless sensor networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151

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

Ye, Wei. “Models and algorithms for energy efficient wireless sensor networks.” 2009. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151.

MLA Handbook (7^{th} Edition):

Ye, Wei. “Models and algorithms for energy efficient wireless sensor networks.” 2009. Web. 21 Jan 2020.

Vancouver:

Ye W. Models and algorithms for energy efficient wireless sensor networks. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151.

Council of Science Editors:

Ye W. Models and algorithms for energy efficient wireless sensor networks. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151

Columbia University

2.
Lu, Brian Yin.
Essays on Approximation Algorithms for *Robust* Linear *Optimization* Problems.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D8ZG6SGM

► Solving *optimization* problems under uncertainty has been an important topic since the appearance of mathematical *optimization* in the mid 19th century. George Dantzig’s 1955 paper,…
(more)

Subjects/Keywords: Mathematical optimization; Uncertainty (Information theory); Robust optimization; Approximation algorithms; Operations research

Record Details Similar Records

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

APA (6^{th} Edition):

Lu, B. Y. (2016). Essays on Approximation Algorithms for Robust Linear Optimization Problems. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8ZG6SGM

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

Lu, Brian Yin. “Essays on Approximation Algorithms for Robust Linear Optimization Problems.” 2016. Doctoral Dissertation, Columbia University. Accessed January 21, 2020. https://doi.org/10.7916/D8ZG6SGM.

MLA Handbook (7^{th} Edition):

Lu, Brian Yin. “Essays on Approximation Algorithms for Robust Linear Optimization Problems.” 2016. Web. 21 Jan 2020.

Vancouver:

Lu BY. Essays on Approximation Algorithms for Robust Linear Optimization Problems. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Jan 21]. Available from: https://doi.org/10.7916/D8ZG6SGM.

Council of Science Editors:

Lu BY. Essays on Approximation Algorithms for Robust Linear Optimization Problems. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8ZG6SGM

University of Vienna

3.
Steurer, Fabian.
*Robust** Optimization*.

Degree: 2017, University of Vienna

URL: http://othes.univie.ac.at/48571/

►

Diese Masterarbeit behandelt das Thema Robuste Optimierung. Dies sind Op- timierungsprobleme die von Unsicherheiten in den Daten beeinflusst werden, wie dies auch häufig in praktischen… (more)

Subjects/Keywords: 31.80 Angewandte Mathematik; Robuste Optimierung; Operations Research / Robust Optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Steurer, F. (2017). Robust Optimization. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/48571/

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):

Steurer, Fabian. “Robust Optimization.” 2017. Thesis, University of Vienna. Accessed January 21, 2020. http://othes.univie.ac.at/48571/.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Steurer, Fabian. “Robust Optimization.” 2017. Web. 21 Jan 2020.

Vancouver:

Steurer F. Robust Optimization. [Internet] [Thesis]. University of Vienna; 2017. [cited 2020 Jan 21]. Available from: http://othes.univie.ac.at/48571/.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Steurer F. Robust Optimization. [Thesis]. University of Vienna; 2017. Available from: http://othes.univie.ac.at/48571/

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

4.
Dong, James.
* ROBUST* MULTI-PRODUCT NEWSVENDOR PROBLEM UNDER A GLOBAL BUDGET OF UNCERTAINTY
.

Degree: 2018, Cornell University

URL: http://hdl.handle.net/1813/59287

► We consider a single-location, single-period stock allocation problem (newsvendor-like problem) with n items in which demand rates, holding costs, and backorder costs vary across all…
(more)

Subjects/Keywords: Operations research; Inventory Theory; Newsvendor Problem; robust optimization

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APA (6^{th} Edition):

Dong, J. (2018). ROBUST MULTI-PRODUCT NEWSVENDOR PROBLEM UNDER A GLOBAL BUDGET OF UNCERTAINTY . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59287

Not specified: Masters Thesis or Doctoral Dissertation

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

Dong, James. “ROBUST MULTI-PRODUCT NEWSVENDOR PROBLEM UNDER A GLOBAL BUDGET OF UNCERTAINTY .” 2018. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/59287.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dong, James. “ROBUST MULTI-PRODUCT NEWSVENDOR PROBLEM UNDER A GLOBAL BUDGET OF UNCERTAINTY .” 2018. Web. 21 Jan 2020.

Vancouver:

Dong J. ROBUST MULTI-PRODUCT NEWSVENDOR PROBLEM UNDER A GLOBAL BUDGET OF UNCERTAINTY . [Internet] [Thesis]. Cornell University; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/59287.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dong J. ROBUST MULTI-PRODUCT NEWSVENDOR PROBLEM UNDER A GLOBAL BUDGET OF UNCERTAINTY . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59287

Not specified: Masters Thesis or Doctoral Dissertation

University of Oklahoma

5.
Almaraj, Ismail.
An Integrated Multi-Echelon Multi-Objective Programming *Robust* Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production.

Degree: PhD, 2019, University of Oklahoma

URL: http://hdl.handle.net/11244/319573

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

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

Record Details Similar Records

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APA (6^{th} Edition):

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

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

Almaraj, Ismail. “An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed January 21, 2020. http://hdl.handle.net/11244/319573.

MLA Handbook (7^{th} Edition):

Almaraj, Ismail. “An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production.” 2019. Web. 21 Jan 2020.

Vancouver:

Almaraj I. An Integrated Multi-Echelon Multi-Objective Programming Robust Closed-Loop Supply Chain Under Dynamic Uncertainty Sets and Imperfect Quality Production. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/11244/319573.

Council of Science Editors:

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

University of Windsor

6.
Lalmazloumian, Morteza.
*Robust**Optimization* Framework to Operating Room Planning and Scheduling in Stochastic Environment.

Degree: PhD, Mechanical, Automotive, and Materials Engineering, 2017, University of Windsor

URL: https://scholar.uwindsor.ca/etd/5994

► Arrangement of surgical activities can be classified as a three-level process that directly impacts the overall performance of a healthcare system. The goal of this…
(more)

Subjects/Keywords: Operating Room; Operations Research; Planning and Scheduling; Robust Optimization; Stochastic Optimization; Uncertainty

Record Details Similar Records

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APA (6^{th} Edition):

Lalmazloumian, M. (2017). Robust Optimization Framework to Operating Room Planning and Scheduling in Stochastic Environment. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5994

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

Lalmazloumian, Morteza. “Robust Optimization Framework to Operating Room Planning and Scheduling in Stochastic Environment.” 2017. Doctoral Dissertation, University of Windsor. Accessed January 21, 2020. https://scholar.uwindsor.ca/etd/5994.

MLA Handbook (7^{th} Edition):

Lalmazloumian, Morteza. “Robust Optimization Framework to Operating Room Planning and Scheduling in Stochastic Environment.” 2017. Web. 21 Jan 2020.

Vancouver:

Lalmazloumian M. Robust Optimization Framework to Operating Room Planning and Scheduling in Stochastic Environment. [Internet] [Doctoral dissertation]. University of Windsor; 2017. [cited 2020 Jan 21]. Available from: https://scholar.uwindsor.ca/etd/5994.

Council of Science Editors:

Lalmazloumian M. Robust Optimization Framework to Operating Room Planning and Scheduling in Stochastic Environment. [Doctoral Dissertation]. University of Windsor; 2017. Available from: https://scholar.uwindsor.ca/etd/5994

University of Iowa

7.
Xu, Guanglin.
* Optimization* under uncertainty: conic programming representations, relaxations, and approximations.

Degree: PhD, Business Administration, 2017, University of Iowa

URL: https://ir.uiowa.edu/etd/5881

► In practice, the presence of uncertain parameters in *optimization* problems introduces new challenges in modeling and solvability to *operations* *research*. There are three main…
(more)

Subjects/Keywords: Conic programming; Copositive programming; Operations research; Robust optimization; Semidefinite programming; Stochastic optimization; Business Administration, Management, and Operations

Record Details Similar Records

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

APA (6^{th} Edition):

Xu, G. (2017). Optimization under uncertainty: conic programming representations, relaxations, and approximations. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/5881

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

Xu, Guanglin. “Optimization under uncertainty: conic programming representations, relaxations, and approximations.” 2017. Doctoral Dissertation, University of Iowa. Accessed January 21, 2020. https://ir.uiowa.edu/etd/5881.

MLA Handbook (7^{th} Edition):

Xu, Guanglin. “Optimization under uncertainty: conic programming representations, relaxations, and approximations.” 2017. Web. 21 Jan 2020.

Vancouver:

Xu G. Optimization under uncertainty: conic programming representations, relaxations, and approximations. [Internet] [Doctoral dissertation]. University of Iowa; 2017. [cited 2020 Jan 21]. Available from: https://ir.uiowa.edu/etd/5881.

Council of Science Editors:

Xu G. Optimization under uncertainty: conic programming representations, relaxations, and approximations. [Doctoral Dissertation]. University of Iowa; 2017. Available from: https://ir.uiowa.edu/etd/5881

Lehigh University

8.
Xiao, Tengjiao.
* Robust* Healthcare Financing Systems.

Degree: PhD, Industrial Engineering, 2015, Lehigh University

URL: https://preserve.lehigh.edu/etd/2884

► This dissertation provides *robust*, quantitative models in healthcare finance to aid decision-makers with rigorous, analytical tools that capture high complexity and high uncertainty of problem.…
(more)

Subjects/Keywords: Healthcare Finance; Robust Optimization; Engineering; Industrial Engineering; Operations Research, Systems Engineering and Industrial Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Xiao, T. (2015). Robust Healthcare Financing Systems. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2884

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

Xiao, Tengjiao. “Robust Healthcare Financing Systems.” 2015. Doctoral Dissertation, Lehigh University. Accessed January 21, 2020. https://preserve.lehigh.edu/etd/2884.

MLA Handbook (7^{th} Edition):

Xiao, Tengjiao. “Robust Healthcare Financing Systems.” 2015. Web. 21 Jan 2020.

Vancouver:

Xiao T. Robust Healthcare Financing Systems. [Internet] [Doctoral dissertation]. Lehigh University; 2015. [cited 2020 Jan 21]. Available from: https://preserve.lehigh.edu/etd/2884.

Council of Science Editors:

Xiao T. Robust Healthcare Financing Systems. [Doctoral Dissertation]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2884

University of Washington

9.
Sinha, Saumya.
* Robust* dynamic

Degree: PhD, 2018, University of Washington

URL: http://hdl.handle.net/1773/42949

► Many applications in decision-making use a dynamic *optimization* framework to model a system evolving uncertainly in discrete time, and an agent who chooses actions/controls from…
(more)

Subjects/Keywords: dynamic programming; Markov decision processes; robust optimization; Operations research; Applied mathematics; Applied mathematics

Record Details Similar Records

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

APA (6^{th} Edition):

Sinha, S. (2018). Robust dynamic optimization: theory and applications. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/42949

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

Sinha, Saumya. “Robust dynamic optimization: theory and applications.” 2018. Doctoral Dissertation, University of Washington. Accessed January 21, 2020. http://hdl.handle.net/1773/42949.

MLA Handbook (7^{th} Edition):

Sinha, Saumya. “Robust dynamic optimization: theory and applications.” 2018. Web. 21 Jan 2020.

Vancouver:

Sinha S. Robust dynamic optimization: theory and applications. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1773/42949.

Council of Science Editors:

Sinha S. Robust dynamic optimization: theory and applications. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/42949

The Ohio State University

10.
Rahimian, Hamed.
Risk-Averse and Distributionally *Robust*
*Optimization*:Methodology and Applications.

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Rahimian, Hamed. “Risk-Averse and Distributionally Robust Optimization:Methodology and Applications.” 2018. Doctoral Dissertation, The Ohio State University. Accessed January 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766.

MLA Handbook (7^{th} Edition):

Rahimian, Hamed. “Risk-Averse and Distributionally Robust Optimization:Methodology and Applications.” 2018. Web. 21 Jan 2020.

Vancouver:

Rahimian H. Risk-Averse and Distributionally Robust Optimization:Methodology and Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2020 Jan 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822931371766.

Council of Science Editors:

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

University of Washington

11.
Ajdari, Ali.
* Robust*, Non-stationary, and Adaptive Fractionation in Radiotherapy.

Degree: PhD, 2018, University of Washington

URL: http://hdl.handle.net/1773/40917

► In external beam radiotherapy for cancer, high-energy radiation is passed through the pa- tient’s body from an outside source to kill tumor cells. The challenge…
(more)

Subjects/Keywords: Adaptive treatment planning; Convex; Dynamic optimization; IMRT; Radiation therapy; Robust optimization; Industrial engineering; Operations research; Oncology; Industrial engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Ajdari, A. (2018). Robust, Non-stationary, and Adaptive Fractionation in Radiotherapy. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40917

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

Ajdari, Ali. “Robust, Non-stationary, and Adaptive Fractionation in Radiotherapy.” 2018. Doctoral Dissertation, University of Washington. Accessed January 21, 2020. http://hdl.handle.net/1773/40917.

MLA Handbook (7^{th} Edition):

Ajdari, Ali. “Robust, Non-stationary, and Adaptive Fractionation in Radiotherapy.” 2018. Web. 21 Jan 2020.

Vancouver:

Ajdari A. Robust, Non-stationary, and Adaptive Fractionation in Radiotherapy. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1773/40917.

Council of Science Editors:

Ajdari A. Robust, Non-stationary, and Adaptive Fractionation in Radiotherapy. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/40917

Georgia Tech

12.
Lorca Galvez, Alvaro Hugo.
*Robust**optimization* for renewable energy integration in power system * operations*.

Degree: PhD, Industrial and Systems Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55653

► *Optimization* provides critical support for the operation of electric power systems. As power systems evolve, enhanced operational methodologies are required, and innovative *optimization* models have…
(more)

Subjects/Keywords: Robust optimization; Power system operations; Renewable energy

Record Details Similar Records

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

APA (6^{th} Edition):

Lorca Galvez, A. H. (2016). Robust optimization for renewable energy integration in power system operations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55653

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

Lorca Galvez, Alvaro Hugo. “Robust optimization for renewable energy integration in power system operations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed January 21, 2020. http://hdl.handle.net/1853/55653.

MLA Handbook (7^{th} Edition):

Lorca Galvez, Alvaro Hugo. “Robust optimization for renewable energy integration in power system operations.” 2016. Web. 21 Jan 2020.

Vancouver:

Lorca Galvez AH. Robust optimization for renewable energy integration in power system operations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1853/55653.

Council of Science Editors:

Lorca Galvez AH. Robust optimization for renewable energy integration in power system operations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55653

University of Florida

13.
Zhao, Kun.
Mixed Integer Programming Approaches to 0-1 Knapsack Problems and Unified Stochastic and *Robust* *Optimization* on Wind Power Investment.

Degree: PhD, Industrial and Systems Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049286

► This dissertation covers a theoretical study of combining dynamic programming approach with cutting planes to solve the binary knapsack problems. In addition, motivated by the…
(more)

Subjects/Keywords: Algorithms; Financial investments; Investment decisions; Linear programming; Operations research; Optimal solutions; Robust optimization; Run time; Transmission lines; Wind power; 0-1kp – dynamic-programming – mixed-integer – optimization – robust – stochastic – wind-power

Record Details Similar Records

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

APA (6^{th} Edition):

Zhao, K. (2015). Mixed Integer Programming Approaches to 0-1 Knapsack Problems and Unified Stochastic and Robust Optimization on Wind Power Investment. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049286

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

Zhao, Kun. “Mixed Integer Programming Approaches to 0-1 Knapsack Problems and Unified Stochastic and Robust Optimization on Wind Power Investment.” 2015. Doctoral Dissertation, University of Florida. Accessed January 21, 2020. http://ufdc.ufl.edu/UFE0049286.

MLA Handbook (7^{th} Edition):

Zhao, Kun. “Mixed Integer Programming Approaches to 0-1 Knapsack Problems and Unified Stochastic and Robust Optimization on Wind Power Investment.” 2015. Web. 21 Jan 2020.

Vancouver:

Zhao K. Mixed Integer Programming Approaches to 0-1 Knapsack Problems and Unified Stochastic and Robust Optimization on Wind Power Investment. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Jan 21]. Available from: http://ufdc.ufl.edu/UFE0049286.

Council of Science Editors:

Zhao K. Mixed Integer Programming Approaches to 0-1 Knapsack Problems and Unified Stochastic and Robust Optimization on Wind Power Investment. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049286

University of California – Berkeley

14. Jain, Ankit. Topics in Modeling Uncertainty with Learning.

Degree: Industrial Engineering & Operations Research, 2010, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/6ng0c9tn

► It is fair to say that in many real world decision problems the underlying models cannot be accurately represented. Uncertainty in a model may arise…
(more)

Subjects/Keywords: Operations research; Industrial engineering; Statistics; Model Uncertainty; Non-parametric Learning; Operational Learning; Operational Statistics; Queuing Control; Robust optimization

Record Details Similar Records

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APA (6^{th} Edition):

Jain, A. (2010). Topics in Modeling Uncertainty with Learning. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/6ng0c9tn

Not specified: Masters Thesis or Doctoral Dissertation

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

Jain, Ankit. “Topics in Modeling Uncertainty with Learning.” 2010. Thesis, University of California – Berkeley. Accessed January 21, 2020. http://www.escholarship.org/uc/item/6ng0c9tn.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jain, Ankit. “Topics in Modeling Uncertainty with Learning.” 2010. Web. 21 Jan 2020.

Vancouver:

Jain A. Topics in Modeling Uncertainty with Learning. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2020 Jan 21]. Available from: http://www.escholarship.org/uc/item/6ng0c9tn.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jain A. Topics in Modeling Uncertainty with Learning. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/6ng0c9tn

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

15. Chuang, Frank. Fast Predictive Control of Networked Energy Systems.

Degree: Mechanical Engineering, 2015, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/4p87x9tc

► In this thesis we study the optimal control of networked energy systems. Networked energy systems consist of a collection of energy storage nodes and a…
(more)

Subjects/Keywords: Mechanical engineering; Mathematics; Operations research; Building HVAC systems; Model predictive control; Model reduction; Networked energy systems; Optimization; Robust control

Record Details Similar Records

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

APA (6^{th} Edition):

Chuang, F. (2015). Fast Predictive Control of Networked Energy Systems. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4p87x9tc

Not specified: Masters Thesis or Doctoral Dissertation

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

Chuang, Frank. “Fast Predictive Control of Networked Energy Systems.” 2015. Thesis, University of California – Berkeley. Accessed January 21, 2020. http://www.escholarship.org/uc/item/4p87x9tc.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chuang, Frank. “Fast Predictive Control of Networked Energy Systems.” 2015. Web. 21 Jan 2020.

Vancouver:

Chuang F. Fast Predictive Control of Networked Energy Systems. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2020 Jan 21]. Available from: http://www.escholarship.org/uc/item/4p87x9tc.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chuang F. Fast Predictive Control of Networked Energy Systems. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/4p87x9tc

Not specified: Masters Thesis or Doctoral Dissertation

16.
Ingram, Elijah E.
Mitigating
the impact of gifts-in-kind: an approach to strategic humanitarian
response planning using *robust* facility location.

Degree: MS, Department of Industrial and Manufacturing Systems Engineering, 2013, Kansas State University

URL: http://hdl.handle.net/2097/15556

► Gifts-in-kind (GIK) donations negatively affect the humanitarian supply chain at the point of receipt near the disaster site. In any disaster, as much as 50…
(more)

Subjects/Keywords: Humanitarian response; Gifts-in-kind; Facility location; Robust optimization; Industrial Engineering (0546); Mathematics (0405); Operations Research (0796)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ingram, E. E. (2013). Mitigating the impact of gifts-in-kind: an approach to strategic humanitarian response planning using robust facility location. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/15556

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

Ingram, Elijah E. “Mitigating the impact of gifts-in-kind: an approach to strategic humanitarian response planning using robust facility location.” 2013. Masters Thesis, Kansas State University. Accessed January 21, 2020. http://hdl.handle.net/2097/15556.

MLA Handbook (7^{th} Edition):

Ingram, Elijah E. “Mitigating the impact of gifts-in-kind: an approach to strategic humanitarian response planning using robust facility location.” 2013. Web. 21 Jan 2020.

Vancouver:

Ingram EE. Mitigating the impact of gifts-in-kind: an approach to strategic humanitarian response planning using robust facility location. [Internet] [Masters thesis]. Kansas State University; 2013. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/2097/15556.

Council of Science Editors:

Ingram EE. Mitigating the impact of gifts-in-kind: an approach to strategic humanitarian response planning using robust facility location. [Masters Thesis]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15556

University of Washington

17. Gong, Jue. Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions.

Degree: PhD, 2019, University of Washington

URL: http://hdl.handle.net/1773/44326

► For many chronic diseases, an individual patient may experience a wide variety of progres- sion pathways. Personalized medicine needs tools to predict the trajectory of…
(more)

Subjects/Keywords: depression; medical decision making; partially observable Markov Decision Process; robust optimization; Industrial engineering; Operations research; Industrial engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Gong, J. (2019). Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/44326

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

Gong, Jue. “Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions.” 2019. Doctoral Dissertation, University of Washington. Accessed January 21, 2020. http://hdl.handle.net/1773/44326.

MLA Handbook (7^{th} Edition):

Gong, Jue. “Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions.” 2019. Web. 21 Jan 2020.

Vancouver:

Gong J. Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1773/44326.

Council of Science Editors:

Gong J. Optimizing Personalized Treatment Selection for Partially Observable Chronic Conditions. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/44326

University of Washington

18.
Kotas, Jakob.
Dynamic, convex, and *robust* *optimization* with Bayesian learning for response-guided dosing.

Degree: PhD, 2016, University of Washington

URL: http://hdl.handle.net/1773/36482

► Medical treatment commonly involves the administration of drug doses at multiple time-points. Intuitively, the higher the doses, the higher the likelihood of disease control as…
(more)

Subjects/Keywords: Bayesian learning; Convex optimization; Dynamic programming; Medical decision-making; Response-guided dosing; Robust optimization; Applied mathematics; Industrial engineering; Operations research; applied mathematics

Record Details Similar Records

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

APA (6^{th} Edition):

Kotas, J. (2016). Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/36482

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

Kotas, Jakob. “Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing.” 2016. Doctoral Dissertation, University of Washington. Accessed January 21, 2020. http://hdl.handle.net/1773/36482.

MLA Handbook (7^{th} Edition):

Kotas, Jakob. “Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing.” 2016. Web. 21 Jan 2020.

Vancouver:

Kotas J. Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1773/36482.

Council of Science Editors:

Kotas J. Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36482

University of Michigan

19.
Guo, Yuanyuan.
Data-Driven Distributionally *Robust* *Optimization* for Power System * Operations*.

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

URL: http://hdl.handle.net/2027.42/151535

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

Guo, Yuanyuan. “Data-Driven Distributionally Robust Optimization for Power System Operations.” 2019. Doctoral Dissertation, University of Michigan. Accessed January 21, 2020. http://hdl.handle.net/2027.42/151535.

MLA Handbook (7^{th} Edition):

Guo, Yuanyuan. “Data-Driven Distributionally Robust Optimization for Power System Operations.” 2019. Web. 21 Jan 2020.

Vancouver:

Guo Y. Data-Driven Distributionally Robust Optimization for Power System Operations. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/2027.42/151535.

Council of Science Editors:

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

UCLA

20. Rath, Sandeep. Resource Planning Models for Healthcare Organizations.

Degree: Management (MS/PHD), 2016, UCLA

URL: http://www.escholarship.org/uc/item/7mv3p3dn

► In this dissertation I look at two problems of resource planning at two major healthcare organizations. The Greater Los Angeles Station of the Veterans Health…
(more)

Subjects/Keywords: Management; Operations research; Healthcare Operations; Optimization

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Rath, S. (2016). Resource Planning Models for Healthcare Organizations. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7mv3p3dn

Not specified: Masters Thesis or Doctoral Dissertation

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

Rath, Sandeep. “Resource Planning Models for Healthcare Organizations.” 2016. Thesis, UCLA. Accessed January 21, 2020. http://www.escholarship.org/uc/item/7mv3p3dn.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rath, Sandeep. “Resource Planning Models for Healthcare Organizations.” 2016. Web. 21 Jan 2020.

Vancouver:

Rath S. Resource Planning Models for Healthcare Organizations. [Internet] [Thesis]. UCLA; 2016. [cited 2020 Jan 21]. Available from: http://www.escholarship.org/uc/item/7mv3p3dn.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rath S. Resource Planning Models for Healthcare Organizations. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/7mv3p3dn

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

21.
Liu, Jianzhe.
On Control and *Optimization* of DC Microgrids.

Degree: PhD, Electrical and Computer Engineering, 2017, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1512049527948171

► The power system is provisioned to evolve into a smart grid that is greener, safer, and more efficient. DC microgrid, a new form of distribution…
(more)

Subjects/Keywords: Energy; Engineering; Electrical Engineering; Operations Research; power system, DC microgrids, constant power loads, network control, robust stability and control, decentralized control, stochastic optimization, chance constraint programming

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Liu, J. (2017). On Control and Optimization of DC Microgrids. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1512049527948171

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

Liu, Jianzhe. “On Control and Optimization of DC Microgrids.” 2017. Doctoral Dissertation, The Ohio State University. Accessed January 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512049527948171.

MLA Handbook (7^{th} Edition):

Liu, Jianzhe. “On Control and Optimization of DC Microgrids.” 2017. Web. 21 Jan 2020.

Vancouver:

Liu J. On Control and Optimization of DC Microgrids. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2020 Jan 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1512049527948171.

Council of Science Editors:

Liu J. On Control and Optimization of DC Microgrids. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1512049527948171

22. Froger, Aurélien. Maintenance scheduling in the electricity industry : a particular focus on a problem rising in the onshore wind industry : Planification de la maintenance d’équipements de production d’électricité : une attention particulière portée sur un problème de l’industrie éolienne terrestre.

Degree: Docteur es, Informatique, 2016, Angers

URL: http://www.theses.fr/2016ANGE0011

►

L’optimisation de la planification de la maintenance des équipements de production d’électricité est une question importante pour éviter des temps d’arrêt inutiles et des coûts… (more)

Subjects/Keywords: Éolien terrestre; Branch-And-Check; Optimisation robuste; Operations research; Scheduling; Maintenance in the electricity industry; Onshore wind farms; Integer linear programming; Constraint programming; Branch-And-Check; Robust optimization; 004

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Froger, A. (2016). Maintenance scheduling in the electricity industry : a particular focus on a problem rising in the onshore wind industry : Planification de la maintenance d’équipements de production d’électricité : une attention particulière portée sur un problème de l’industrie éolienne terrestre. (Doctoral Dissertation). Angers. Retrieved from http://www.theses.fr/2016ANGE0011

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

Froger, Aurélien. “Maintenance scheduling in the electricity industry : a particular focus on a problem rising in the onshore wind industry : Planification de la maintenance d’équipements de production d’électricité : une attention particulière portée sur un problème de l’industrie éolienne terrestre.” 2016. Doctoral Dissertation, Angers. Accessed January 21, 2020. http://www.theses.fr/2016ANGE0011.

MLA Handbook (7^{th} Edition):

Froger, Aurélien. “Maintenance scheduling in the electricity industry : a particular focus on a problem rising in the onshore wind industry : Planification de la maintenance d’équipements de production d’électricité : une attention particulière portée sur un problème de l’industrie éolienne terrestre.” 2016. Web. 21 Jan 2020.

Vancouver:

Froger A. Maintenance scheduling in the electricity industry : a particular focus on a problem rising in the onshore wind industry : Planification de la maintenance d’équipements de production d’électricité : une attention particulière portée sur un problème de l’industrie éolienne terrestre. [Internet] [Doctoral dissertation]. Angers; 2016. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2016ANGE0011.

Council of Science Editors:

Froger A. Maintenance scheduling in the electricity industry : a particular focus on a problem rising in the onshore wind industry : Planification de la maintenance d’équipements de production d’électricité : une attention particulière portée sur un problème de l’industrie éolienne terrestre. [Doctoral Dissertation]. Angers; 2016. Available from: http://www.theses.fr/2016ANGE0011

Università della Svizzera italiana

23.
Mutsanas, Nikos.
Approximability of precedence constrained and *robust*
scheduling problems.

Degree: 2010, Università della Svizzera italiana

URL: http://doc.rero.ch/record/18217

► We study the approximability of scheduling problems in different contexts. We first give a short introduction to the field of scheduling theory and present a…
(more)

Subjects/Keywords: Robust optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Mutsanas, N. (2010). Approximability of precedence constrained and robust scheduling problems. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/18217

Not specified: Masters Thesis or Doctoral Dissertation

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

Mutsanas, Nikos. “Approximability of precedence constrained and robust scheduling problems.” 2010. Thesis, Università della Svizzera italiana. Accessed January 21, 2020. http://doc.rero.ch/record/18217.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mutsanas, Nikos. “Approximability of precedence constrained and robust scheduling problems.” 2010. Web. 21 Jan 2020.

Vancouver:

Mutsanas N. Approximability of precedence constrained and robust scheduling problems. [Internet] [Thesis]. Università della Svizzera italiana; 2010. [cited 2020 Jan 21]. Available from: http://doc.rero.ch/record/18217.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mutsanas N. Approximability of precedence constrained and robust scheduling problems. [Thesis]. Università della Svizzera italiana; 2010. Available from: http://doc.rero.ch/record/18217

Not specified: Masters Thesis or Doctoral Dissertation

ETH Zürich

24.
Zemmer, Kevin.
Integer Polynomial *Optimization* in Fixed Dimension.

Degree: 2017, ETH Zürich

URL: http://hdl.handle.net/20.500.11850/241796

► The problem of optimizing multivariate scalar polynomial functions over mixed-integer points in polyhedra is a generalization of the well known Linear Programming (LP) problem. While…
(more)

Subjects/Keywords: Operations Research; Mathematical Optimization; Integer Optimization; Polynomial Optimization; Fixed Dimension

Record Details Similar Records

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

APA (6^{th} Edition):

Zemmer, K. (2017). Integer Polynomial Optimization in Fixed Dimension. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/241796

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

Zemmer, Kevin. “Integer Polynomial Optimization in Fixed Dimension.” 2017. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/241796.

MLA Handbook (7^{th} Edition):

Zemmer, Kevin. “Integer Polynomial Optimization in Fixed Dimension.” 2017. Web. 21 Jan 2020.

Vancouver:

Zemmer K. Integer Polynomial Optimization in Fixed Dimension. [Internet] [Doctoral dissertation]. ETH Zürich; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/241796.

Council of Science Editors:

Zemmer K. Integer Polynomial Optimization in Fixed Dimension. [Doctoral Dissertation]. ETH Zürich; 2017. Available from: http://hdl.handle.net/20.500.11850/241796

Columbia University

25. Qiu, Zhen. Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D8FQ9WVP

► Solving *operations* *research* problems with approximation algorithms has been an important topic since approximation algorithm can provide near-optimal solutions to NP-hard problems while achieving computational…
(more)

Subjects/Keywords: Approximation algorithms; Mathematical optimization; Scheduling; Operations research

Record Details Similar Records

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

APA (6^{th} Edition):

Qiu, Z. (2016). Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8FQ9WVP

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

Qiu, Zhen. “Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling.” 2016. Doctoral Dissertation, Columbia University. Accessed January 21, 2020. https://doi.org/10.7916/D8FQ9WVP.

MLA Handbook (7^{th} Edition):

Qiu, Zhen. “Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling.” 2016. Web. 21 Jan 2020.

Vancouver:

Qiu Z. Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Jan 21]. Available from: https://doi.org/10.7916/D8FQ9WVP.

Council of Science Editors:

Qiu Z. Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8FQ9WVP

Columbia University

26.
Feigenbaum, Itai Izhak.
* Optimization* in Strategic Environments.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D8377916

► This work considers the problem faced by a decision maker (planner) trying to optimize over incomplete data. The missing data is privately held by agents…
(more)

Subjects/Keywords: Mathematical optimization; Algorithms; Planners; Operations research

Record Details Similar Records

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

APA (6^{th} Edition):

Feigenbaum, I. I. (2016). Optimization in Strategic Environments. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8377916

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

Feigenbaum, Itai Izhak. “Optimization in Strategic Environments.” 2016. Doctoral Dissertation, Columbia University. Accessed January 21, 2020. https://doi.org/10.7916/D8377916.

MLA Handbook (7^{th} Edition):

Feigenbaum, Itai Izhak. “Optimization in Strategic Environments.” 2016. Web. 21 Jan 2020.

Vancouver:

Feigenbaum II. Optimization in Strategic Environments. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Jan 21]. Available from: https://doi.org/10.7916/D8377916.

Council of Science Editors:

Feigenbaum II. Optimization in Strategic Environments. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8377916

Cornell University

27.
Lo, Venus Hiu Ling.
Capturing Product Complementarity in Assortment * Optimization*
.

Degree: 2019, Cornell University

URL: http://hdl.handle.net/1813/67280

► We study three assortment *optimization* problems that reflect the current retail environment. The goal of these problems is to compute an assortment which maximizes the…
(more)

Subjects/Keywords: Operations research; assortment optimization; revenue management

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Lo, V. H. L. (2019). Capturing Product Complementarity in Assortment Optimization . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/67280

Not specified: Masters Thesis or Doctoral Dissertation

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

Lo, Venus Hiu Ling. “Capturing Product Complementarity in Assortment Optimization .” 2019. Thesis, Cornell University. Accessed January 21, 2020. http://hdl.handle.net/1813/67280.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lo, Venus Hiu Ling. “Capturing Product Complementarity in Assortment Optimization .” 2019. Web. 21 Jan 2020.

Vancouver:

Lo VHL. Capturing Product Complementarity in Assortment Optimization . [Internet] [Thesis]. Cornell University; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1813/67280.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lo VHL. Capturing Product Complementarity in Assortment Optimization . [Thesis]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67280

Not specified: Masters Thesis or Doctoral Dissertation

University of Arkansas

28. Heydari, Mohammadhossein. Optimal Allocation of Resources in Reliability Growth.

Degree: PhD, 2018, University of Arkansas

URL: https://scholarworks.uark.edu/etd/2688

► Reliability growth testing seeks to identify and remove failure modes in order to improve system reliability. This dissertation centers around the resource allocation across…
(more)

Subjects/Keywords: Reliability Growth; Resource Allocation; Robust Optimization; Industrial Engineering; Operational Research

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Heydari, M. (2018). Optimal Allocation of Resources in Reliability Growth. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/2688

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

Heydari, Mohammadhossein. “Optimal Allocation of Resources in Reliability Growth.” 2018. Doctoral Dissertation, University of Arkansas. Accessed January 21, 2020. https://scholarworks.uark.edu/etd/2688.

MLA Handbook (7^{th} Edition):

Heydari, Mohammadhossein. “Optimal Allocation of Resources in Reliability Growth.” 2018. Web. 21 Jan 2020.

Vancouver:

Heydari M. Optimal Allocation of Resources in Reliability Growth. [Internet] [Doctoral dissertation]. University of Arkansas; 2018. [cited 2020 Jan 21]. Available from: https://scholarworks.uark.edu/etd/2688.

Council of Science Editors:

Heydari M. Optimal Allocation of Resources in Reliability Growth. [Doctoral Dissertation]. University of Arkansas; 2018. Available from: https://scholarworks.uark.edu/etd/2688

Arizona State University

29.
Korad, Akshay Shashikumar.
* Robust* Corrective Topology Control for System Reliability
and Renewable Integration.

Degree: Electrical Engineering, 2015, Arizona State University

URL: http://repository.asu.edu/items/29867

Subjects/Keywords: Electrical engineering; Operations research; Engineering; power system operations; power system reliability; power system stability; renewable generation; robust optimization; topology control

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Korad, A. S. (2015). Robust Corrective Topology Control for System Reliability and Renewable Integration. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/29867

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

Korad, Akshay Shashikumar. “Robust Corrective Topology Control for System Reliability and Renewable Integration.” 2015. Doctoral Dissertation, Arizona State University. Accessed January 21, 2020. http://repository.asu.edu/items/29867.

MLA Handbook (7^{th} Edition):

Korad, Akshay Shashikumar. “Robust Corrective Topology Control for System Reliability and Renewable Integration.” 2015. Web. 21 Jan 2020.

Vancouver:

Korad AS. Robust Corrective Topology Control for System Reliability and Renewable Integration. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2020 Jan 21]. Available from: http://repository.asu.edu/items/29867.

Council of Science Editors:

Korad AS. Robust Corrective Topology Control for System Reliability and Renewable Integration. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29867

Université Paris-Sud – Paris XI

30. Excoffier, Mathilde. Chance-Constrained Programming Approaches for Staffing and Shift-Scheduling Problems with Uncertain Forecasts : application to Call Centers : Approches de programmation en contraintes en probabilité pour les problèmes de dimensionnement et planification avec incertitude de la demande : application aux centres d'appels.

Degree: Docteur es, Informatique, 2015, Université Paris-Sud – Paris XI

URL: http://www.theses.fr/2015PA112244

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Le problème de dimensionnement et planification d'agents en centre d'appels consiste à déterminer sur une période le nombre d'interlocuteurs requis afin d'atteindre la qualité de… (more)

Subjects/Keywords: Optimisation mathématique; Recherche opérationnelle; Programmation stochastique; Optimisation robuste; Contraintes en probabilités; Théorie des files d'attente; Lois de probabilité continues; Programmation linéaire mixte; Mathematical Optimization; Operations Research; Stochastic Programming; Robust Optimization; Chance Constraints; Queuing Theory; Continuous Distributions; Mixed-Integer Linear Programming

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

APA (6^{th} Edition):

Excoffier, M. (2015). Chance-Constrained Programming Approaches for Staffing and Shift-Scheduling Problems with Uncertain Forecasts : application to Call Centers : Approches de programmation en contraintes en probabilité pour les problèmes de dimensionnement et planification avec incertitude de la demande : application aux centres d'appels. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2015PA112244

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

Excoffier, Mathilde. “Chance-Constrained Programming Approaches for Staffing and Shift-Scheduling Problems with Uncertain Forecasts : application to Call Centers : Approches de programmation en contraintes en probabilité pour les problèmes de dimensionnement et planification avec incertitude de la demande : application aux centres d'appels.” 2015. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed January 21, 2020. http://www.theses.fr/2015PA112244.

MLA Handbook (7^{th} Edition):

Excoffier, Mathilde. “Chance-Constrained Programming Approaches for Staffing and Shift-Scheduling Problems with Uncertain Forecasts : application to Call Centers : Approches de programmation en contraintes en probabilité pour les problèmes de dimensionnement et planification avec incertitude de la demande : application aux centres d'appels.” 2015. Web. 21 Jan 2020.

Vancouver:

Excoffier M. Chance-Constrained Programming Approaches for Staffing and Shift-Scheduling Problems with Uncertain Forecasts : application to Call Centers : Approches de programmation en contraintes en probabilité pour les problèmes de dimensionnement et planification avec incertitude de la demande : application aux centres d'appels. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2015. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2015PA112244.

Council of Science Editors:

Excoffier M. Chance-Constrained Programming Approaches for Staffing and Shift-Scheduling Problems with Uncertain Forecasts : application to Call Centers : Approches de programmation en contraintes en probabilité pour les problèmes de dimensionnement et planification avec incertitude de la demande : application aux centres d'appels. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2015. Available from: http://www.theses.fr/2015PA112244