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You searched for +publisher:"Georgia Tech" +contributor:("Boland, Natashia"). Showing records 1 – 8 of 8 total matches.

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Georgia Tech

1. Zou, Jikai. Large scale multistage stochastic integer programming with applications in electric power systems.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 Multistage stochastic integer programming (MSIP) is a framework for sequential decision making under uncertainty, where the uncertainty is modeled by a general stochastic process, and… (more)

Subjects/Keywords: Multistage stochastic integer programming; Stochastic dual dynamic programming; Power systems; Generation expansion planning; Unit commitment

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APA (6th Edition):

Zou, J. (2017). Large scale multistage stochastic integer programming with applications in electric power systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59102

Chicago Manual of Style (16th Edition):

Zou, Jikai. “Large scale multistage stochastic integer programming with applications in electric power systems.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/59102.

MLA Handbook (7th Edition):

Zou, Jikai. “Large scale multistage stochastic integer programming with applications in electric power systems.” 2017. Web. 21 Aug 2019.

Vancouver:

Zou J. Large scale multistage stochastic integer programming with applications in electric power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/59102.

Council of Science Editors:

Zou J. Large scale multistage stochastic integer programming with applications in electric power systems. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59102


Georgia Tech

2. Hu, Weihong. Modeling and solution of some multi-period supply chain optimization problems.

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

 This thesis consists of three parts, each of which contributes to an independent topic in the broad area of multi-period supply chain optimization, and provides… (more)

Subjects/Keywords: Supply chain optimization; Modeling and solution

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APA (6th Edition):

Hu, W. (2016). Modeling and solution of some multi-period supply chain optimization problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55580

Chicago Manual of Style (16th Edition):

Hu, Weihong. “Modeling and solution of some multi-period supply chain optimization problems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/55580.

MLA Handbook (7th Edition):

Hu, Weihong. “Modeling and solution of some multi-period supply chain optimization problems.” 2016. Web. 21 Aug 2019.

Vancouver:

Hu W. Modeling and solution of some multi-period supply chain optimization problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/55580.

Council of Science Editors:

Hu W. Modeling and solution of some multi-period supply chain optimization problems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55580


Georgia Tech

3. Kocuk, Burak. Global optimization methods for optimal power flow and transmission switching problems in electric power systems.

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

 Power engineering is concerned with the generation, transmission, and distribution of electricity over electric power network, which is arguably one of the largest engineering systems… (more)

Subjects/Keywords: Global optimization; Conic programming; Mixed-integer nonlinear programming; Power systems; Optimal power flow; Transmission switching

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APA (6th Edition):

Kocuk, B. (2016). Global optimization methods for optimal power flow and transmission switching problems in electric power systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55633

Chicago Manual of Style (16th Edition):

Kocuk, Burak. “Global optimization methods for optimal power flow and transmission switching problems in electric power systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/55633.

MLA Handbook (7th Edition):

Kocuk, Burak. “Global optimization methods for optimal power flow and transmission switching problems in electric power systems.” 2016. Web. 21 Aug 2019.

Vancouver:

Kocuk B. Global optimization methods for optimal power flow and transmission switching problems in electric power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/55633.

Council of Science Editors:

Kocuk B. Global optimization methods for optimal power flow and transmission switching problems in electric power systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55633


Georgia Tech

4. Bakir, Ilke. Large scale optimization methods for fleet management in long-haul transportation networks.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 In this thesis, we explore topics in large-scale deterministic and stochastic optimization methods in transportation networks, with particular emphasis on methods of addressing uncertainty in… (more)

Subjects/Keywords: Logistics management; Large-scale optimization; Fleet management; Empty repositioning; Stochastic programming

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APA (6th Edition):

Bakir, I. (2017). Large scale optimization methods for fleet management in long-haul transportation networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59279

Chicago Manual of Style (16th Edition):

Bakir, Ilke. “Large scale optimization methods for fleet management in long-haul transportation networks.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/59279.

MLA Handbook (7th Edition):

Bakir, Ilke. “Large scale optimization methods for fleet management in long-haul transportation networks.” 2017. Web. 21 Aug 2019.

Vancouver:

Bakir I. Large scale optimization methods for fleet management in long-haul transportation networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/59279.

Council of Science Editors:

Bakir I. Large scale optimization methods for fleet management in long-haul transportation networks. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59279


Georgia Tech

5. Karabulut, Ezgi. Distributed integer programming.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 In this thesis, we study distributed integer programming problems that involve multiple players with integer programming problems linked together with a common resource constraint. Our… (more)

Subjects/Keywords: Decentralized optimization; Resource allocation; Concavity; Online optimization

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APA (6th Edition):

Karabulut, E. (2017). Distributed integer programming. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59194

Chicago Manual of Style (16th Edition):

Karabulut, Ezgi. “Distributed integer programming.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/59194.

MLA Handbook (7th Edition):

Karabulut, Ezgi. “Distributed integer programming.” 2017. Web. 21 Aug 2019.

Vancouver:

Karabulut E. Distributed integer programming. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/59194.

Council of Science Editors:

Karabulut E. Distributed integer programming. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59194


Georgia Tech

6. Marshall, Luke J. Dynamic and continuous-time service network design.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

 The thesis focuses on two fundamental problems in transportation and logistics, namely, service network design, and operation, with a focus on high precision, and large… (more)

Subjects/Keywords: Service network design; Time-expanded network; Time-space network; Dynamic discretization discovery

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APA (6th Edition):

Marshall, L. J. (2018). Dynamic and continuous-time service network design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59843

Chicago Manual of Style (16th Edition):

Marshall, Luke J. “Dynamic and continuous-time service network design.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/59843.

MLA Handbook (7th Edition):

Marshall, Luke J. “Dynamic and continuous-time service network design.” 2018. Web. 21 Aug 2019.

Vancouver:

Marshall LJ. Dynamic and continuous-time service network design. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/59843.

Council of Science Editors:

Marshall LJ. Dynamic and continuous-time service network design. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59843


Georgia Tech

7. Musselman, Amelia E. Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 This dissertation presents the study of three strategic planning problems in the area of critical infrastructure planning and protection. Each of these problems involves real-world… (more)

Subjects/Keywords: Network interdiction; Nuclear detection; Robust optimization; Bi-level programming; Sub-Saharan Africa; Electricity development; Power generation expansion planning; Wind siting; Multi-objective optimization

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APA (6th Edition):

Musselman, A. E. (2017). Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60147

Chicago Manual of Style (16th Edition):

Musselman, Amelia E. “Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/60147.

MLA Handbook (7th Edition):

Musselman, Amelia E. “Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability.” 2017. Web. 21 Aug 2019.

Vancouver:

Musselman AE. Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/60147.

Council of Science Editors:

Musselman AE. Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60147

8. Hale, Joshua Q. An investigation of model-based approaches in solving a variety of global optimization problems.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 Model-based optimization methods are a class of random search methods that are useful for solving global optimization problems. These types of methods have shown significant… (more)

Subjects/Keywords: Model-based algorithms; Multi-objective optimization; P-median problem; Stochastic search

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APA (6th Edition):

Hale, J. Q. (2017). An investigation of model-based approaches in solving a variety of global optimization problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58278

Chicago Manual of Style (16th Edition):

Hale, Joshua Q. “An investigation of model-based approaches in solving a variety of global optimization problems.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 21, 2019. http://hdl.handle.net/1853/58278.

MLA Handbook (7th Edition):

Hale, Joshua Q. “An investigation of model-based approaches in solving a variety of global optimization problems.” 2017. Web. 21 Aug 2019.

Vancouver:

Hale JQ. An investigation of model-based approaches in solving a variety of global optimization problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 21]. Available from: http://hdl.handle.net/1853/58278.

Council of Science Editors:

Hale JQ. An investigation of model-based approaches in solving a variety of global optimization problems. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58278

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