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University of Florida

1. Spanton, Shantih M. Network Models for Performance Analysis and Optimization.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0046945

In this document, we consider three problems that model scenarios on a graph or transportation network, each of which includes various levels of uncertainty. We
*Advisors/Committee Members: GEUNES,JOSEPH PATRICK (committee chair), RICHARD,JEAN-PHILIPPE P (committee member), BANERJEE,ARUNAVA (committee member).*

Subjects/Keywords: Customer service; Customers; Global positioning systems; Optics; Railroad trains; Service time; Taboos; Time windows; Travel time; Vehicles; datamining – gps – heuristics – mip – networks – routing

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APA (6^{th} Edition):

Spanton, S. M. (2014). Network Models for Performance Analysis and Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046945

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

Spanton, Shantih M. “Network Models for Performance Analysis and Optimization.” 2014. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0046945.

MLA Handbook (7^{th} Edition):

Spanton, Shantih M. “Network Models for Performance Analysis and Optimization.” 2014. Web. 17 Jun 2019.

Vancouver:

Spanton SM. Network Models for Performance Analysis and Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0046945.

Council of Science Editors:

Spanton SM. Network Models for Performance Analysis and Optimization. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046945

University of Florida

2. Pan, Kai. Deterministic and Stochastic Unit Commitment Problems Convex Hulls, Strong Formulations, and Case Studies.

Degree: PhD, Industrial and Systems Engineering, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0050269

► This dissertation presents recent success on computationally efficient formulations and algorithms to solve deterministic and stochastic unit commitment problems, which are at the crux of…
(more)

Subjects/Keywords: Algorithms; Bidding; Electricity; Integers; Linear programming; Polytopes; Power generation; Prices; Start up firms; Stochastic models; algorithms – branch-and-cut – combinatorial – computation – formulation – integer – optimization – power – ramping – separation – system

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APA (6^{th} Edition):

Pan, K. (2016). Deterministic and Stochastic Unit Commitment Problems Convex Hulls, Strong Formulations, and Case Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050269

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

Pan, Kai. “Deterministic and Stochastic Unit Commitment Problems Convex Hulls, Strong Formulations, and Case Studies.” 2016. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0050269.

MLA Handbook (7^{th} Edition):

Pan, Kai. “Deterministic and Stochastic Unit Commitment Problems Convex Hulls, Strong Formulations, and Case Studies.” 2016. Web. 17 Jun 2019.

Vancouver:

Pan K. Deterministic and Stochastic Unit Commitment Problems Convex Hulls, Strong Formulations, and Case Studies. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0050269.

Council of Science Editors:

Pan K. Deterministic and Stochastic Unit Commitment Problems Convex Hulls, Strong Formulations, and Case Studies. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050269

University of Florida

3. Zhao, Chaoyue. Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047165

► With increasing penetration of renewable energy into the power grid and its intermittent nature, it is crucial and challenging for system operators to provide reliable…
(more)

Subjects/Keywords: Demand curves; Distance functions; Electric generators; Electricity; Optimal solutions; Probability distributions; Robust optimization; Total costs; Unit costs; Wind power; data-driven – power – renewable – robust – stochastic

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APA (6^{th} Edition):

Zhao, C. (2014). Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047165

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

Zhao, Chaoyue. “Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration.” 2014. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0047165.

MLA Handbook (7^{th} Edition):

Zhao, Chaoyue. “Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration.” 2014. Web. 17 Jun 2019.

Vancouver:

Zhao C. Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0047165.

Council of Science Editors:

Zhao C. Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047165

University of Florida

4. Tang, Yen Thi. A Class of Algorithms for Mixed-Integer Bilevel Min-Max Optimization Problems with Applications.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0046155

► In this dissertation, we construct algorithms to solve a class of mixed-integer bilevel min-max optimization problems, with applications to knapsack, clique, and evacuation problems. These…
(more)

Subjects/Keywords: Algorithms; Boxes; Disasters; Emergency evacuations; Integers; Iterative solutions; Linear programming; Mathematical models; Operations research; Optimal solutions; bilevel – evacuation – interdiction – mixed-integer – network – optimization

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

APA (6^{th} Edition):

Tang, Y. T. (2014). A Class of Algorithms for Mixed-Integer Bilevel Min-Max Optimization Problems with Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046155

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

Tang, Yen Thi. “A Class of Algorithms for Mixed-Integer Bilevel Min-Max Optimization Problems with Applications.” 2014. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0046155.

MLA Handbook (7^{th} Edition):

Tang, Yen Thi. “A Class of Algorithms for Mixed-Integer Bilevel Min-Max Optimization Problems with Applications.” 2014. Web. 17 Jun 2019.

Vancouver:

Tang YT. A Class of Algorithms for Mixed-Integer Bilevel Min-Max Optimization Problems with Applications. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0046155.

Council of Science Editors:

Tang YT. A Class of Algorithms for Mixed-Integer Bilevel Min-Max Optimization Problems with Applications. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046155

University of Florida

5. 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

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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 June 17, 2019. 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. 17 Jun 2019.

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 2019 Jun 17]. 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 Florida

6. Prince, Michael D. Algorithms and Reformulation Techniques for Three-Stage Interdiction and Fortification Problems.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045177

► In this paper we present several optimization problems in supply chains and logistics. The first group of problems we analyze involve a procurement optimization problem…
(more)

Subjects/Keywords: Algorithms; Capacity costs; Forts; Integers; Linear programming; Minimization of cost; Objective functions; Operations research; Optimal solutions; Procurement; facility – fortification – interdiction – mixed-integer – network – optimization – procurement

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

APA (6^{th} Edition):

Prince, M. D. (2013). Algorithms and Reformulation Techniques for Three-Stage Interdiction and Fortification Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045177

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

Prince, Michael D. “Algorithms and Reformulation Techniques for Three-Stage Interdiction and Fortification Problems.” 2013. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0045177.

MLA Handbook (7^{th} Edition):

Prince, Michael D. “Algorithms and Reformulation Techniques for Three-Stage Interdiction and Fortification Problems.” 2013. Web. 17 Jun 2019.

Vancouver:

Prince MD. Algorithms and Reformulation Techniques for Three-Stage Interdiction and Fortification Problems. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0045177.

Council of Science Editors:

Prince MD. Algorithms and Reformulation Techniques for Three-Stage Interdiction and Fortification Problems. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045177

University of Florida

7. Wei, Lai. Stochastic Optimization and Control with Applications in PHEV and Inventory Management.

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

URL: http://ufdc.ufl.edu/UFE0049134

► In this dissertation, we address problems related to electricity storage control policies to manage charging and discharging activities for plug-in hybrid electric vehicles. We start…
(more)

Subjects/Keywords: Carrying costs; Cost control; Cost functions; Electricity; Inventory control; Market prices; Optimal control; Optimal policy; Prices; Search services; impulse – inventory – phev

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APA (6^{th} Edition):

Wei, L. (2015). Stochastic Optimization and Control with Applications in PHEV and Inventory Management. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049134

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

Wei, Lai. “Stochastic Optimization and Control with Applications in PHEV and Inventory Management.” 2015. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0049134.

MLA Handbook (7^{th} Edition):

Wei, Lai. “Stochastic Optimization and Control with Applications in PHEV and Inventory Management.” 2015. Web. 17 Jun 2019.

Vancouver:

Wei L. Stochastic Optimization and Control with Applications in PHEV and Inventory Management. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0049134.

Council of Science Editors:

Wei L. Stochastic Optimization and Control with Applications in PHEV and Inventory Management. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049134

University of Florida

8. Arslan, Ayse Nur. Polyhedral Techniques for Mixed Integer Programs Arising in Production Planning and Logistics.

Degree: PhD, Industrial and Systems Engineering, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0049886

► This dissertation explores formulations and cutting planes for three different classes of mixed integer programs arising in production planning and logistics. The first is a…
(more)

Subjects/Keywords: Algorithms; Chartering; Integers; Linear programming; Market conditions; Operations research; Optimal solutions; Ports; Shipments; Stochastic models; planes

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

APA (6^{th} Edition):

Arslan, A. N. (2016). Polyhedral Techniques for Mixed Integer Programs Arising in Production Planning and Logistics. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049886

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

Arslan, Ayse Nur. “Polyhedral Techniques for Mixed Integer Programs Arising in Production Planning and Logistics.” 2016. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0049886.

MLA Handbook (7^{th} Edition):

Arslan, Ayse Nur. “Polyhedral Techniques for Mixed Integer Programs Arising in Production Planning and Logistics.” 2016. Web. 17 Jun 2019.

Vancouver:

Arslan AN. Polyhedral Techniques for Mixed Integer Programs Arising in Production Planning and Logistics. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0049886.

Council of Science Editors:

Arslan AN. Polyhedral Techniques for Mixed Integer Programs Arising in Production Planning and Logistics. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0049886

University of Florida

9. Jiang, Ruiwei. Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045885

► Decision making processes in practice often involve trade-offs between reliability and cost effectiveness. When a decision maker is faced with an uncertain environment, more often…
(more)

Subjects/Keywords: Algorithms; Ambiguity; Approximation; Cost functions; Infinity; Linear programming; Probability distributions; Renewable energy; Sample size; Stochastic models; cost – optimization – reliability – stochastic

Record Details Similar Records

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

APA (6^{th} Edition):

Jiang, R. (2013). Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045885

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

Jiang, Ruiwei. “Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness.” 2013. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0045885.

MLA Handbook (7^{th} Edition):

Jiang, Ruiwei. “Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness.” 2013. Web. 17 Jun 2019.

Vancouver:

Jiang R. Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0045885.

Council of Science Editors:

Jiang R. Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045885

University of Florida

10. Hemmati, Mehdi. Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045762

► In this dissertation, we study multilevel optimization andnetwork interdiction theory, and apply this theory across several applicationsettings. The common theme of all ourproblems involves competitive…
(more)

Subjects/Keywords: Algorithms; Customers; Integers; Linear programming; Mathematical sequences; Mathematical variables; Objective functions; Operations research; Optimal solutions; Product introduction; bilevel – interdiction – network – optimization

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

APA (6^{th} Edition):

Hemmati, M. (2013). Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045762

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

Hemmati, Mehdi. “Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems.” 2013. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0045762.

MLA Handbook (7^{th} Edition):

Hemmati, Mehdi. “Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems.” 2013. Web. 17 Jun 2019.

Vancouver:

Hemmati M. Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0045762.

Council of Science Editors:

Hemmati M. Multilevel Discrete Formulations and Algorithms with Applications to New Production Introduction Games and Network Interdiction Problems. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045762

University of Florida

11. Syed, Naqeebuddin Mujahid. Optimization Based Robust Methods in Data Analysis with Applications to Biomedicine and Engineering.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045841

► Analysis of a complex system as a whole, and the limitations of traditional statistical analysis led towards the search of robust methods in data analysis.…
(more)

Subjects/Keywords: Convexity; Data analysis; Datasets; Entropy; Error rates; Hyperplanes; Magnetic resonance imaging; Matrices; Outliers; Signals; blind-signal-separation – classification – clustering – generalized-covexity – robust-algorithms – robust-measures

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APA (6^{th} Edition):

Syed, N. M. (2013). Optimization Based Robust Methods in Data Analysis with Applications to Biomedicine and Engineering. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045841

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

Syed, Naqeebuddin Mujahid. “Optimization Based Robust Methods in Data Analysis with Applications to Biomedicine and Engineering.” 2013. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0045841.

MLA Handbook (7^{th} Edition):

Syed, Naqeebuddin Mujahid. “Optimization Based Robust Methods in Data Analysis with Applications to Biomedicine and Engineering.” 2013. Web. 17 Jun 2019.

Vancouver:

Syed NM. Optimization Based Robust Methods in Data Analysis with Applications to Biomedicine and Engineering. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0045841.

Council of Science Editors:

Syed NM. Optimization Based Robust Methods in Data Analysis with Applications to Biomedicine and Engineering. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045841

University of Florida

12. Nguyen, Trang Thi Le. Convexification Techniques for Complementarity and Multilinear Constraints.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045295

► In this Dissertation, we develop tighter convex relaxations for polyhedral sets with complementarity constraints and multilinear constraints using tools inspired from integer programming. Firstly, we…
(more)

Subjects/Keywords: Algorithms; Integers; Linear inequalities; Linear programming; Mathematical inequalities; Optimal solutions; Polyhedrons; Polynomials; Relaxation techniques; Tableaux; complementarity – convexification – multilinear

Record Details Similar Records

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

APA (6^{th} Edition):

Nguyen, T. T. L. (2013). Convexification Techniques for Complementarity and Multilinear Constraints. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045295

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

Nguyen, Trang Thi Le. “Convexification Techniques for Complementarity and Multilinear Constraints.” 2013. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0045295.

MLA Handbook (7^{th} Edition):

Nguyen, Trang Thi Le. “Convexification Techniques for Complementarity and Multilinear Constraints.” 2013. Web. 17 Jun 2019.

Vancouver:

Nguyen TTL. Convexification Techniques for Complementarity and Multilinear Constraints. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0045295.

Council of Science Editors:

Nguyen TTL. Convexification Techniques for Complementarity and Multilinear Constraints. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045295

University of Florida

13. Burchett, Deon Lamar. Multi-Commodity Fixed Charge Capacitated Network Design Polyhedral Characteristics, Network Resilience, and Algorithms.

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

URL: http://ufdc.ufl.edu/UFE0047507

► We perform a polyhedral study of a multi-commodity generalization of variable upper bound flow models. In particular, we establish some relations between facets of single-…
(more)

Subjects/Keywords: Aggregation; Algorithms; Commodities; Infrastructure; Linear programming; Mathematical inequalities; Mathematical programming; Operations research; Optimal solutions; Transportation; design – multicommodity – network – polyhedral

Record Details Similar Records

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APA (6^{th} Edition):

Burchett, D. L. (2015). Multi-Commodity Fixed Charge Capacitated Network Design Polyhedral Characteristics, Network Resilience, and Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047507

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

Burchett, Deon Lamar. “Multi-Commodity Fixed Charge Capacitated Network Design Polyhedral Characteristics, Network Resilience, and Algorithms.” 2015. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0047507.

MLA Handbook (7^{th} Edition):

Burchett, Deon Lamar. “Multi-Commodity Fixed Charge Capacitated Network Design Polyhedral Characteristics, Network Resilience, and Algorithms.” 2015. Web. 17 Jun 2019.

Vancouver:

Burchett DL. Multi-Commodity Fixed Charge Capacitated Network Design Polyhedral Characteristics, Network Resilience, and Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0047507.

Council of Science Editors:

Burchett DL. Multi-Commodity Fixed Charge Capacitated Network Design Polyhedral Characteristics, Network Resilience, and Algorithms. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047507

University of Florida

14. Icyuz, Ilksen Ece. Optimization Models and Methods for Network Flow Problems Arising in Railroad Industry.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045667

► In this thesis, we develop models and methods for solving certain network flow problems that occur in the railroad industry. First, we study the monthly…
(more)

Subjects/Keywords: Coal; Consignment; Customers; Heuristics; Locomotives; Railroad trains; Scheduling; Travel origin and destination; Unit trains; Vertices; coal – heuristics – largescalemips – polyhedralstudy – railroads – unittrains

Record Details Similar Records

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APA (6^{th} Edition):

Icyuz, I. E. (2013). Optimization Models and Methods for Network Flow Problems Arising in Railroad Industry. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045667

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

Icyuz, Ilksen Ece. “Optimization Models and Methods for Network Flow Problems Arising in Railroad Industry.” 2013. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0045667.

MLA Handbook (7^{th} Edition):

Icyuz, Ilksen Ece. “Optimization Models and Methods for Network Flow Problems Arising in Railroad Industry.” 2013. Web. 17 Jun 2019.

Vancouver:

Icyuz IE. Optimization Models and Methods for Network Flow Problems Arising in Railroad Industry. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0045667.

Council of Science Editors:

Icyuz IE. Optimization Models and Methods for Network Flow Problems Arising in Railroad Industry. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045667

University of Florida

15. Sefair, Jorge A. Interdiction Models for Planning under Uncertainty.

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

URL: http://ufdc.ufl.edu/UFE0049111

► This dissertation presents new classes of interdiction problems, accompanied by novel analytical and methodological development for their solution. The first problem is motivated by an…
(more)

Subjects/Keywords: Algorithms; Approximation; Cost allocation; Cost efficiency; Integers; Markov chains; Mink; Optimal solutions; Run time; Transition probabilities; interdiction – networks – optimization – uncertainty

Record Details Similar Records

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

APA (6^{th} Edition):

Sefair, J. A. (2015). Interdiction Models for Planning under Uncertainty. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049111

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

Sefair, Jorge A. “Interdiction Models for Planning under Uncertainty.” 2015. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0049111.

MLA Handbook (7^{th} Edition):

Sefair, Jorge A. “Interdiction Models for Planning under Uncertainty.” 2015. Web. 17 Jun 2019.

Vancouver:

Sefair JA. Interdiction Models for Planning under Uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0049111.

Council of Science Editors:

Sefair JA. Interdiction Models for Planning under Uncertainty. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049111

University of Florida

16. Davarnia, Danial. Convexification Techniques for Bilinear and Complementarity Constraints with Application to Network Interdiction.

Degree: PhD, Industrial and Systems Engineering, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0050279

Continuous and discrete bilinear and complementarity constraints are widely used to model engineering and management problems.
*Advisors/Committee Members: RICHARD,JEAN-PHILIPPE P (committee chair), GARCIA,ALFREDO (committee member), HAMILTON,JONATHAN H (committee member), TAWARMALANI,MOHIT (committee member).*

Subjects/Keywords: Aggregation; Algorithms; Conic sections; Linear programming; Mathematical inequalities; Mathematical programming; Mathematical variables; Operations research; Optimal solutions; Polytopes; bilinear – complementarity – convexification – cutting-plane – envelope – interdiction – kkt – lifting

Record Details Similar Records

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

APA (6^{th} Edition):

Davarnia, D. (2016). Convexification Techniques for Bilinear and Complementarity Constraints with Application to Network Interdiction. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050279

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

Davarnia, Danial. “Convexification Techniques for Bilinear and Complementarity Constraints with Application to Network Interdiction.” 2016. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0050279.

MLA Handbook (7^{th} Edition):

Davarnia, Danial. “Convexification Techniques for Bilinear and Complementarity Constraints with Application to Network Interdiction.” 2016. Web. 17 Jun 2019.

Vancouver:

Davarnia D. Convexification Techniques for Bilinear and Complementarity Constraints with Application to Network Interdiction. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0050279.

Council of Science Editors:

Davarnia D. Convexification Techniques for Bilinear and Complementarity Constraints with Application to Network Interdiction. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050279

University of Florida

17. Ranjan, Anshu. Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0049579

Power system capacity needs, in terms of generation, transmission, distribution
*Advisors/Committee Members: SAHNI,SARTAJ KUMAR (committee chair), KAHVECI,TAMER (committee member), RANKA,SANJAY (committee member), RICHARD,JEAN-PHILIPPE P (committee member).*

Subjects/Keywords: Algorithms; Approximation; Datasets; Demand schedule; Electric vehicles; Experimental results; Federal preemption; Heuristics; Rectangles; Scheduling; algorithms – approximation – smart-grid

Record Details Similar Records

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

APA (6^{th} Edition):

Ranjan, A. (2016). Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049579

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

Ranjan, Anshu. “Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids.” 2016. Doctoral Dissertation, University of Florida. Accessed June 17, 2019. http://ufdc.ufl.edu/UFE0049579.

MLA Handbook (7^{th} Edition):

Ranjan, Anshu. “Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids.” 2016. Web. 17 Jun 2019.

Vancouver:

Ranjan A. Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jun 17]. Available from: http://ufdc.ufl.edu/UFE0049579.

Council of Science Editors:

Ranjan A. Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0049579