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You searched for +publisher:"University of Florida" +contributor:("RICHARD,JEAN-PHILIPPE P"). Showing records 1 – 17 of 17 total matches.

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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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

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

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

APA (6th 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 (16th 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 (7th 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

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

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

APA (6th 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 (16th 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 (7th 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

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