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Dept: Industrial and Systems Engineering  University: University of Florida

You searched for subject:(cascading centrality coupling diffusion interdependent optimization). Showing records 1 – 30 of 55 total matches.

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University of Florida

1. Vogiatzis, Chrysafis. Exact and Heuristic Approaches to Solving Sensor Placement, Routing, and Tracking Problems.

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

 In this thesis, the problem of information tracking, dissemination, and spread in sensor networks is studied. At first, an extensive literature review for sensor networks… (more)

Subjects/Keywords: Algorithms; Cost allocation; Distance functions; Heuristics; Intelligent vehicles; Mathematics; Optimal solutions; Robotics; Sensors; Transportation; centrality  – cluster  – optimization  – routing  – sensors  – tracking

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APA (6th Edition):

Vogiatzis, C. (2014). Exact and Heuristic Approaches to Solving Sensor Placement, Routing, and Tracking Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046956

Chicago Manual of Style (16th Edition):

Vogiatzis, Chrysafis. “Exact and Heuristic Approaches to Solving Sensor Placement, Routing, and Tracking Problems.” 2014. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0046956.

MLA Handbook (7th Edition):

Vogiatzis, Chrysafis. “Exact and Heuristic Approaches to Solving Sensor Placement, Routing, and Tracking Problems.” 2014. Web. 08 Dec 2019.

Vancouver:

Vogiatzis C. Exact and Heuristic Approaches to Solving Sensor Placement, Routing, and Tracking Problems. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0046956.

Council of Science Editors:

Vogiatzis C. Exact and Heuristic Approaches to Solving Sensor Placement, Routing, and Tracking Problems. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046956


University of Florida

2. Sorokin, Alexey V. Modeling and Optimization Techniques for Ensuring Resilience in Heterogeneous Networked Systems.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

 This dissertationpresents modeling and optimization approaches for addressing some aspects ofensuring resilience of various types of networked systems with respect topotential failures of network components.… (more)

Subjects/Keywords: Algorithms; Approximation; Electricity; Fixed charges; Infrastructure; Interdependent networks; Natural gas; Objective functions; Topology; Vertices; energy  – modeling  – networks  – optimization  – resilience  – robustness  – stochastic  – telecommunication  – transportation

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APA (6th Edition):

Sorokin, A. V. (2012). Modeling and Optimization Techniques for Ensuring Resilience in Heterogeneous Networked Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044406

Chicago Manual of Style (16th Edition):

Sorokin, Alexey V. “Modeling and Optimization Techniques for Ensuring Resilience in Heterogeneous Networked Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0044406.

MLA Handbook (7th Edition):

Sorokin, Alexey V. “Modeling and Optimization Techniques for Ensuring Resilience in Heterogeneous Networked Systems.” 2012. Web. 08 Dec 2019.

Vancouver:

Sorokin AV. Modeling and Optimization Techniques for Ensuring Resilience in Heterogeneous Networked Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0044406.

Council of Science Editors:

Sorokin AV. Modeling and Optimization Techniques for Ensuring Resilience in Heterogeneous Networked Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044406


University of Florida

3. Pavlikov, Konstantin IVanovich. Optimization Topics in Risk Management.

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

This study is located at the intersection of risk management, optimization, statistical Advisors/Committee Members: URYASEV,STANISLAV (committee chair), BOGINSKIY,VLADIMIR L (committee member), HAGER,WILLIAM WARD (committee member).

Subjects/Keywords: Gaussian distributions; Interdependent networks; Maximum likelihood estimations; Method of moments; Natural logarithms; Operational risks; Random variables; Statistics; T score; Truncation; likelihood  – risk  – uncertainty

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APA (6th Edition):

Pavlikov, K. I. (2014). Optimization Topics in Risk Management. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046911

Chicago Manual of Style (16th Edition):

Pavlikov, Konstantin IVanovich. “Optimization Topics in Risk Management.” 2014. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0046911.

MLA Handbook (7th Edition):

Pavlikov, Konstantin IVanovich. “Optimization Topics in Risk Management.” 2014. Web. 08 Dec 2019.

Vancouver:

Pavlikov KI. Optimization Topics in Risk Management. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0046911.

Council of Science Editors:

Pavlikov KI. Optimization Topics in Risk Management. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046911


University of Florida

4. Shylo, Oleg. New Tools For Large-Scale Combinatorial Optimization Problems.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 Many traditional algorithmic techniques used in combinatorial optimization have reached the computational limits of their scope. A relatively low cost and availability of parallel multi-core… (more)

Subjects/Keywords: Algorithms; Combinatorial optimization; Computer programming; Heuristics; Job shops; Mathematical vectors; Matrices; Operations research; Scheduling; Taboos; optimization, parallel, portfolio, quadratic, restart, scheduling

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APA (6th Edition):

Shylo, O. (2009). New Tools For Large-Scale Combinatorial Optimization Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024719

Chicago Manual of Style (16th Edition):

Shylo, Oleg. “New Tools For Large-Scale Combinatorial Optimization Problems.” 2009. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0024719.

MLA Handbook (7th Edition):

Shylo, Oleg. “New Tools For Large-Scale Combinatorial Optimization Problems.” 2009. Web. 08 Dec 2019.

Vancouver:

Shylo O. New Tools For Large-Scale Combinatorial Optimization Problems. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0024719.

Council of Science Editors:

Shylo O. New Tools For Large-Scale Combinatorial Optimization Problems. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024719


University of Florida

5. Zhou, Zhiqiang. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.

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

 The main goal of this paper is to develop a new stochastic subgradient method for constrained stochastic convex optimization problems. The problem we are interested… (more)

Subjects/Keywords: Approximation; Entropy; Estimated cost to complete; Keywords; optimization  – rubust  – stochastic

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APA (6th Edition):

Zhou, Z. (2014). Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047301

Chicago Manual of Style (16th Edition):

Zhou, Zhiqiang. “Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.” 2014. Masters Thesis, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0047301.

MLA Handbook (7th Edition):

Zhou, Zhiqiang. “Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.” 2014. Web. 08 Dec 2019.

Vancouver:

Zhou Z. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. [Internet] [Masters thesis]. University of Florida; 2014. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0047301.

Council of Science Editors:

Zhou Z. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. [Masters Thesis]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047301


University of Florida

6. Wang, Ximing. Machine Learning Optimization Models with Data Uncertainties.

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

Subjects/Keywords: machine-learning; optimization; uncertainties

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APA (6th Edition):

Wang, X. (2015). Machine Learning Optimization Models with Data Uncertainties. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049100

Chicago Manual of Style (16th Edition):

Wang, Ximing. “Machine Learning Optimization Models with Data Uncertainties.” 2015. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0049100.

MLA Handbook (7th Edition):

Wang, Ximing. “Machine Learning Optimization Models with Data Uncertainties.” 2015. Web. 08 Dec 2019.

Vancouver:

Wang X. Machine Learning Optimization Models with Data Uncertainties. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0049100.

Council of Science Editors:

Wang X. Machine Learning Optimization Models with Data Uncertainties. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049100


University of Florida

7. 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 December 08, 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. 08 Dec 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 Dec 08]. 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

8. Boyko, Mykyta. New Approaches to Robust Optimization with Applications.

Degree: PhD, Industrial and Systems Engineering, 2010, University of Florida

 The dissertation focuses on a popular percentile-based risk measure known as Conditional Value at Risk (CVaR). CVaR has emerged from financial applications and allows obtaining… (more)

Subjects/Keywords: Algorithms; Cardinality; Jamming; Linear programming; Mathematical programming; Modeling; Optimal solutions; Robust optimization; Scheduling; Sensors

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APA (6th Edition):

Boyko, M. (2010). New Approaches to Robust Optimization with Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041990

Chicago Manual of Style (16th Edition):

Boyko, Mykyta. “New Approaches to Robust Optimization with Applications.” 2010. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0041990.

MLA Handbook (7th Edition):

Boyko, Mykyta. “New Approaches to Robust Optimization with Applications.” 2010. Web. 08 Dec 2019.

Vancouver:

Boyko M. New Approaches to Robust Optimization with Applications. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0041990.

Council of Science Editors:

Boyko M. New Approaches to Robust Optimization with Applications. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041990


University of Florida

9. Tadayon, Bita. Algorithms and Complexity Analysis for Integer Multicommodity Network Flow and Robust Single-Machine Scheduling Problems.

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

 We address several optimization problems in which data elements are uncertain. For each problem we apply an appropriate method for uncertainty representation, propose efficient mathematical… (more)

Subjects/Keywords: Algorithms; Commodities; Hubs; Linear programming; Mathematical robustness; Mathematical sequences; Mink; Objective functions; Robust optimization; Scheduling; budgeted-uncertainty  – complexity-analysis  – congestion  – cutting-planes  – dynamic-programming  – integer-programming  – linearization  – multicommodity-flow  – network-optimization  – node-reliabilities  – robust-optimization  – scheduling  – single-machine  – uncertainty

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APA (6th Edition):

Tadayon, B. (2014). Algorithms and Complexity Analysis for Integer Multicommodity Network Flow and Robust Single-Machine Scheduling Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046568

Chicago Manual of Style (16th Edition):

Tadayon, Bita. “Algorithms and Complexity Analysis for Integer Multicommodity Network Flow and Robust Single-Machine Scheduling Problems.” 2014. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0046568.

MLA Handbook (7th Edition):

Tadayon, Bita. “Algorithms and Complexity Analysis for Integer Multicommodity Network Flow and Robust Single-Machine Scheduling Problems.” 2014. Web. 08 Dec 2019.

Vancouver:

Tadayon B. Algorithms and Complexity Analysis for Integer Multicommodity Network Flow and Robust Single-Machine Scheduling Problems. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0046568.

Council of Science Editors:

Tadayon B. Algorithms and Complexity Analysis for Integer Multicommodity Network Flow and Robust Single-Machine Scheduling Problems. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046568


University of Florida

10. Berros, Jeremy. American Option Pricing in a Jump-Diffusion Model.

Degree: MS, Industrial and Systems Engineering, 2009, University of Florida

 Many alternative models have been developed lately to generalize the Black-Scholes option pricing model in order to incorporate more empirical features. Brownian motion and normal… (more)

Subjects/Keywords: American option; Assets; Brownian motion; Modeling; Prices; Pricing; Random variables; Smiles; Stochastic models; Stochastic processes; american, diffusion, engineering, european, finance, jump, model, option, pricing, stochastic

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APA (6th Edition):

Berros, J. (2009). American Option Pricing in a Jump-Diffusion Model. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0025116

Chicago Manual of Style (16th Edition):

Berros, Jeremy. “American Option Pricing in a Jump-Diffusion Model.” 2009. Masters Thesis, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0025116.

MLA Handbook (7th Edition):

Berros, Jeremy. “American Option Pricing in a Jump-Diffusion Model.” 2009. Web. 08 Dec 2019.

Vancouver:

Berros J. American Option Pricing in a Jump-Diffusion Model. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0025116.

Council of Science Editors:

Berros J. American Option Pricing in a Jump-Diffusion Model. [Masters Thesis]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0025116


University of Florida

11. 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 December 08, 2019. http://ufdc.ufl.edu/UFE0045885.

MLA Handbook (7th Edition):

Jiang, Ruiwei. “Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness.” 2013. Web. 08 Dec 2019.

Vancouver:

Jiang R. Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 08]. 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

12. 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 December 08, 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. 08 Dec 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 Dec 08]. 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

13. Feng, Tianke. Stochastic and Dynamic Sequential Decision Problems with Postponement Options.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

 Postponement naturally arises as an option for decisions under uncertainty, as it enables the acquisition of more information for better decisions. The value of postponement… (more)

Subjects/Keywords: Aircraft; Algorithms; Carrying costs; Deadlines; Dynamic programming; Elevators; Financial investments; Freight; Heuristics; Optimal policy; optimization  – postponement  – sequential-decision

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APA (6th Edition):

Feng, T. (2012). Stochastic and Dynamic Sequential Decision Problems with Postponement Options. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044117

Chicago Manual of Style (16th Edition):

Feng, Tianke. “Stochastic and Dynamic Sequential Decision Problems with Postponement Options.” 2012. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0044117.

MLA Handbook (7th Edition):

Feng, Tianke. “Stochastic and Dynamic Sequential Decision Problems with Postponement Options.” 2012. Web. 08 Dec 2019.

Vancouver:

Feng T. Stochastic and Dynamic Sequential Decision Problems with Postponement Options. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0044117.

Council of Science Editors:

Feng T. Stochastic and Dynamic Sequential Decision Problems with Postponement Options. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044117


University of Florida

14. Sullivan, Kelly M. Two-Level System Interdiction.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

 We consider a number of interdiction problems with applications in homeland security. First, we study a stochastic interdiction model formulated by Morton et al. (IIE… (more)

Subjects/Keywords: Algorithms; Cardinality; Integers; Linear programming; Objective functions; Operations research; Optimal solutions; P values; Sensors; Smuggling; discrete  – interdiction  – network  – nuclear  – optimization

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APA (6th Edition):

Sullivan, K. M. (2012). Two-Level System Interdiction. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044471

Chicago Manual of Style (16th Edition):

Sullivan, Kelly M. “Two-Level System Interdiction.” 2012. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0044471.

MLA Handbook (7th Edition):

Sullivan, Kelly M. “Two-Level System Interdiction.” 2012. Web. 08 Dec 2019.

Vancouver:

Sullivan KM. Two-Level System Interdiction. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0044471.

Council of Science Editors:

Sullivan KM. Two-Level System Interdiction. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044471


University of Florida

15. Onal, Mehmet. Extensions to the Economic Lot Sizing Problem.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 We present several variants of the basic economic lot sizing model. In one of our models, we integrate pricing, procurement, transportation, and inventory decisions for… (more)

Subjects/Keywords: Algorithms; Carrying costs; Cost functions; Expiration dates; Inventories; Market prices; Optimal solutions; Pricing; Pricing strategies; Procurement; optimization, pricing, production

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APA (6th Edition):

Onal, M. (2009). Extensions to the Economic Lot Sizing Problem. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024781

Chicago Manual of Style (16th Edition):

Onal, Mehmet. “Extensions to the Economic Lot Sizing Problem.” 2009. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0024781.

MLA Handbook (7th Edition):

Onal, Mehmet. “Extensions to the Economic Lot Sizing Problem.” 2009. Web. 08 Dec 2019.

Vancouver:

Onal M. Extensions to the Economic Lot Sizing Problem. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0024781.

Council of Science Editors:

Onal M. Extensions to the Economic Lot Sizing Problem. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024781


University of Florida

16. Sonuc, Sibel B. Multi-Stage MIP Formulation and Exact Solution Approaches for Combinatorial Network Problems.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

 Many complex optimization problems arising in real-world settings cannot reasonably be solved by hand, or by a team of subject matter experts. The limiting factors… (more)

Subjects/Keywords: Algorithms; Ambiguity; Cardinality; Heuristics; Integers; Linear programming; Objective functions; Optimal solutions; Sensors; Vertices; graph  – integer  – large  – network  – optimization  – programming  – sensors

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APA (6th Edition):

Sonuc, S. B. (2012). Multi-Stage MIP Formulation and Exact Solution Approaches for Combinatorial Network Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044607

Chicago Manual of Style (16th Edition):

Sonuc, Sibel B. “Multi-Stage MIP Formulation and Exact Solution Approaches for Combinatorial Network Problems.” 2012. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0044607.

MLA Handbook (7th Edition):

Sonuc, Sibel B. “Multi-Stage MIP Formulation and Exact Solution Approaches for Combinatorial Network Problems.” 2012. Web. 08 Dec 2019.

Vancouver:

Sonuc SB. Multi-Stage MIP Formulation and Exact Solution Approaches for Combinatorial Network Problems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0044607.

Council of Science Editors:

Sonuc SB. Multi-Stage MIP Formulation and Exact Solution Approaches for Combinatorial Network Problems. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044607


University of Florida

17. 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 December 08, 2019. http://ufdc.ufl.edu/UFE0049111.

MLA Handbook (7th Edition):

Sefair, Jorge A. “Interdiction Models for Planning under Uncertainty.” 2015. Web. 08 Dec 2019.

Vancouver:

Sefair JA. Interdiction Models for Planning under Uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Dec 08]. 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

18. Zhou, Zhili. Multi-stage discrete optimization with data uncertainty and lot-sizing.

Degree: PhD, Industrial and Systems Engineering, 2010, University of Florida

 Multi-stage robust optimization and stochastic programming are two approaches for multi-stage decision making under data uncertainty. In this dissertation, three problems on multi-stage robust optimization(more)

Subjects/Keywords: Algorithms; Capital costs; Heuristics; Linear programming; Optimal solutions; Outsourcing; Polyhedrons; Production costs; Robust optimization; Unit costs; lotsizing, mixedinteger, robustoptimization, stochasticprogramming

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APA (6th Edition):

Zhou, Z. (2010). Multi-stage discrete optimization with data uncertainty and lot-sizing. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042108

Chicago Manual of Style (16th Edition):

Zhou, Zhili. “Multi-stage discrete optimization with data uncertainty and lot-sizing.” 2010. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0042108.

MLA Handbook (7th Edition):

Zhou, Zhili. “Multi-stage discrete optimization with data uncertainty and lot-sizing.” 2010. Web. 08 Dec 2019.

Vancouver:

Zhou Z. Multi-stage discrete optimization with data uncertainty and lot-sizing. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0042108.

Council of Science Editors:

Zhou Z. Multi-stage discrete optimization with data uncertainty and lot-sizing. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042108


University of Florida

19. Wang, Qianfan. Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies.

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

 Stochastic programming is a common approach to solving decision-making problems under uncertainty in power systems optimization. In this dissertation, we first present a unit commitment… (more)

Subjects/Keywords: Algorithms; Approximation; Electricity; Expected values; Objective functions; Randomness; Sample size; Transmission lines; Unit costs; Wind power; algorithms  – optimization  – stochastic

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APA (6th Edition):

Wang, Q. (2013). Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045153

Chicago Manual of Style (16th Edition):

Wang, Qianfan. “Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies.” 2013. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0045153.

MLA Handbook (7th Edition):

Wang, Qianfan. “Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies.” 2013. Web. 08 Dec 2019.

Vancouver:

Wang Q. Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0045153.

Council of Science Editors:

Wang Q. Two-Stage Chance and Expected Value Constrained Stochastic Unit Commitment Formulations, Algorithms and Case Studies. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045153


University of Florida

20. Jha, Krishna Chandra ( Dissertant ). Very large-scale neighborhood search heuristics for combinatorial cptimization problems.

Degree: PhD, Industrial and Systems Engineering, 2004, University of Florida

 Combinatorial optimization plays an important role in decision-making since optimal decisions often depend on a nontrivial combination of various factors. Most combinatorial optimization problems are… (more)

Subjects/Keywords: Algorithms; Combinatorial optimization; Heuristics; Minimization of cost; Objective functions; Optimal solutions; Railroad trains; Shipments; Taboos; Weapons; Combinatorial optimization

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APA (6th Edition):

Jha, K. C. (. D. ). (2004). Very large-scale neighborhood search heuristics for combinatorial cptimization problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0004352

Chicago Manual of Style (16th Edition):

Jha, Krishna Chandra ( Dissertant ). “Very large-scale neighborhood search heuristics for combinatorial cptimization problems.” 2004. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0004352.

MLA Handbook (7th Edition):

Jha, Krishna Chandra ( Dissertant ). “Very large-scale neighborhood search heuristics for combinatorial cptimization problems.” 2004. Web. 08 Dec 2019.

Vancouver:

Jha KC(D). Very large-scale neighborhood search heuristics for combinatorial cptimization problems. [Internet] [Doctoral dissertation]. University of Florida; 2004. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0004352.

Council of Science Editors:

Jha KC(D). Very large-scale neighborhood search heuristics for combinatorial cptimization problems. [Doctoral Dissertation]. University of Florida; 2004. Available from: http://ufdc.ufl.edu/UFE0004352


University of Florida

21. Behdani, Behnam. Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks.

Degree: PhD, Industrial and Systems Engineering, 2012, University of Florida

 We address several problems related to the efficient use of energy resources in wireless sensor networks (WSNs). We first consider the problem of maximizing the… (more)

Subjects/Keywords: Algorithms; Line segments; Linear programming; Objective functions; Optimal solutions; Sensors; Tours; Trajectories; Travel; Traveling salesman problem; lifetime  – networks  – optimization  – sensor  – tsp  – wireless

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

APA (6th Edition):

Behdani, B. (2012). Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043321

Chicago Manual of Style (16th Edition):

Behdani, Behnam. “Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks.” 2012. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0043321.

MLA Handbook (7th Edition):

Behdani, Behnam. “Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks.” 2012. Web. 08 Dec 2019.

Vancouver:

Behdani B. Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0043321.

Council of Science Editors:

Behdani B. Discrete and Geometric Approaches to Lifetime Maximization in Wireless Sensor Networks. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0043321


University of Florida

22. Buyuktahtakin, Ismet. Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 MIXED INTEGER PROGRAMMING APPROACHES TO LOT-SIZING AND ASSET REPLACEMENT PROBLEMS In this dissertation, we develop mixed integer programming approaches for solving capacitated lot-sizing and parallel… (more)

Subjects/Keywords: Algorithms; Assets; Dynamic programming; Fixed charges; Fixed costs; Integer programming; Integers; Objective functions; Optimal solutions; Technological change; dynamic, integer, optimization, production, replacement

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APA (6th Edition):

Buyuktahtakin, I. (2009). Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0025002

Chicago Manual of Style (16th Edition):

Buyuktahtakin, Ismet. “Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems.” 2009. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0025002.

MLA Handbook (7th Edition):

Buyuktahtakin, Ismet. “Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems.” 2009. Web. 08 Dec 2019.

Vancouver:

Buyuktahtakin I. Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0025002.

Council of Science Editors:

Buyuktahtakin I. Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0025002


University of Florida

23. Rebennack, Steffen. A Unified State-Space and Scenario Tree Framework for Multi-Stage Stochastic Optimization an Application to Emission-Constrained Hydro-Thermal Scheduling.

Degree: PhD, Industrial and Systems Engineering, 2010, University of Florida

 In the hydro-thermal scheduling problem, one is interested in determining the optimal operating policy for the use of hydro and thermal resources in order to… (more)

Subjects/Keywords: Algorithms; Carbon dioxide emissions; Cost functions; Electricity; Emission allowances; Hydroelectric power; Linear programming; Market prices; Prices; Scheduling; emissions, hydrothermal, midterm, optimization, sampling, scenarios, sddp, stochastic, uncertainty

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

APA (6th Edition):

Rebennack, S. (2010). A Unified State-Space and Scenario Tree Framework for Multi-Stage Stochastic Optimization an Application to Emission-Constrained Hydro-Thermal Scheduling. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042028

Chicago Manual of Style (16th Edition):

Rebennack, Steffen. “A Unified State-Space and Scenario Tree Framework for Multi-Stage Stochastic Optimization an Application to Emission-Constrained Hydro-Thermal Scheduling.” 2010. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0042028.

MLA Handbook (7th Edition):

Rebennack, Steffen. “A Unified State-Space and Scenario Tree Framework for Multi-Stage Stochastic Optimization an Application to Emission-Constrained Hydro-Thermal Scheduling.” 2010. Web. 08 Dec 2019.

Vancouver:

Rebennack S. A Unified State-Space and Scenario Tree Framework for Multi-Stage Stochastic Optimization an Application to Emission-Constrained Hydro-Thermal Scheduling. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0042028.

Council of Science Editors:

Rebennack S. A Unified State-Space and Scenario Tree Framework for Multi-Stage Stochastic Optimization an Application to Emission-Constrained Hydro-Thermal Scheduling. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042028


University of Florida

24. Zheng, Qipeng. Stochastic Integer Optimization and Applications in Energy Systems.

Degree: PhD, Industrial and Systems Engineering, 2010, University of Florida

 Everyday, we are faced with a lot of uncertainties and discrete decisions. Stochastic mixed integer programming is well suited to help us handle this situation.… (more)

Subjects/Keywords: Air compressors; Algorithms; Electricity; Integers; Linear programming; Liquefied natural gas; Natural gas; Objective functions; Optimal solutions; Pipelines; decomposition, electricity, expansion, gas, integer, location, optimization, planning, risk, stochastic, system, transmission

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APA (6th Edition):

Zheng, Q. (2010). Stochastic Integer Optimization and Applications in Energy Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042029

Chicago Manual of Style (16th Edition):

Zheng, Qipeng. “Stochastic Integer Optimization and Applications in Energy Systems.” 2010. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0042029.

MLA Handbook (7th Edition):

Zheng, Qipeng. “Stochastic Integer Optimization and Applications in Energy Systems.” 2010. Web. 08 Dec 2019.

Vancouver:

Zheng Q. Stochastic Integer Optimization and Applications in Energy Systems. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0042029.

Council of Science Editors:

Zheng Q. Stochastic Integer Optimization and Applications in Energy Systems. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042029


University of Florida

25. Shirokikh, Oleg A. Degree-Based Clique Relaxations Theoretical Bounds, Computational Issues, and Applications.

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

 This dissertation considers degree-based clique relaxations and their applications in real-world settings. A significant part of the study is devoted to two clique relaxation models,… (more)

Subjects/Keywords: Corporations; Finance; Financial investments; Financial portfolios; Investment banking; Outliers; Property trusts; Stock markets; Time series; Vertices; clique-relaxations  – data-mining  – maximum-clique  – maximum-s-defective-clique  – maximum-s-plex  – optimization

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APA (6th Edition):

Shirokikh, O. A. (2013). Degree-Based Clique Relaxations Theoretical Bounds, Computational Issues, and Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046078

Chicago Manual of Style (16th Edition):

Shirokikh, Oleg A. “Degree-Based Clique Relaxations Theoretical Bounds, Computational Issues, and Applications.” 2013. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0046078.

MLA Handbook (7th Edition):

Shirokikh, Oleg A. “Degree-Based Clique Relaxations Theoretical Bounds, Computational Issues, and Applications.” 2013. Web. 08 Dec 2019.

Vancouver:

Shirokikh OA. Degree-Based Clique Relaxations Theoretical Bounds, Computational Issues, and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0046078.

Council of Science Editors:

Shirokikh OA. Degree-Based Clique Relaxations Theoretical Bounds, Computational Issues, and Applications. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046078


University of Florida

26. Shen,Siqian. Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems.

Degree: PhD, Industrial and Systems Engineering, 2011, University of Florida

 This dissertation investigates models and algorithms for solving a class of two-stage optimization problems arising in a variety of practical problems, including network interdiction applications.… (more)

Subjects/Keywords: Algorithms; Broadcasting industry; Connectivity; Integers; Linear programming; Minimization of cost; Operations research; Optimal solutions; Penalty function; Recursion; algorithms  – decomposition  – domination  – graph  – heuristic  – management  – mathematics  – modelling  – networks  – np  – optimization  – stochastic

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APA (6th Edition):

Shen,Siqian. (2011). Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043106

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

Chicago Manual of Style (16th Edition):

Shen,Siqian. “Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems.” 2011. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0043106.

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

MLA Handbook (7th Edition):

Shen,Siqian. “Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems.” 2011. Web. 08 Dec 2019.

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

Vancouver:

Shen,Siqian. Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0043106.

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

Council of Science Editors:

Shen,Siqian. Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043106

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


University of Florida

27. Romich, Andrew N. Mixed-Integer Nonlinear Algorithms and Analysis for Spatial Network Interdiction Problems.

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

 We address problems related to locating network components and routing flow. First, we examine the problem of placing stationary sensors in a continuous space, with… (more)

Subjects/Keywords: Algorithms; Coordinate systems; Integers; Linear programming; Mathematical maxima; Natural logarithms; Objective functions; Optimal solutions; Polynomials; Sensors; algorithms  – complexity  – interdiction  – networks  – nonlinear  – optimization

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APA (6th Edition):

Romich, A. N. (2013). Mixed-Integer Nonlinear Algorithms and Analysis for Spatial Network Interdiction Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045765

Chicago Manual of Style (16th Edition):

Romich, Andrew N. “Mixed-Integer Nonlinear Algorithms and Analysis for Spatial Network Interdiction Problems.” 2013. Doctoral Dissertation, University of Florida. Accessed December 08, 2019. http://ufdc.ufl.edu/UFE0045765.

MLA Handbook (7th Edition):

Romich, Andrew N. “Mixed-Integer Nonlinear Algorithms and Analysis for Spatial Network Interdiction Problems.” 2013. Web. 08 Dec 2019.

Vancouver:

Romich AN. Mixed-Integer Nonlinear Algorithms and Analysis for Spatial Network Interdiction Problems. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 08]. Available from: http://ufdc.ufl.edu/UFE0045765.

Council of Science Editors:

Romich AN. Mixed-Integer Nonlinear Algorithms and Analysis for Spatial Network Interdiction Problems. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045765


University of Florida

28. 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 December 08, 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. 08 Dec 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 Dec 08]. 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

29. 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 December 08, 2019. http://ufdc.ufl.edu/UFE0047165.

MLA Handbook (7th Edition):

Zhao, Chaoyue. “Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration.” 2014. Web. 08 Dec 2019.

Vancouver:

Zhao C. Data-Driven Risk-Averse Stochastic Program and Renewable Energy Integration. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Dec 08]. 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

30. 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 December 08, 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. 08 Dec 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 Dec 08]. 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

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