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Multi-level Optimization and Applications with Non-Traditional Game Theory

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Date Issued:
2019
Abstract/Description:
We study multi-level optimization problem on energy system, transportation system and information network. We use the concept of boundedly rational user equilibrium (BRUE) to predict the behaviour of users in systems. By using multi-level optimization method with BRUE, we can help to operate the system work in a more efficient way. Based on the introducing of model with BRUE constraints, it will lead to the uncertainty to the optimization model. We generate the robust optimization as the multi-level optimization model to consider for the pessimistic condition with uncertainty. This dissertation mainly includes four projects. Three of them use the pricing strategy as the first level optimization decision variable. In general, our models' first level's decision variables are the measures that we can control, but the second level's decision variables are users behaviours that can only be restricted within BRUE with uncertainty.
Title: Multi-level Optimization and Applications with Non-Traditional Game Theory.
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Name(s): Yun, Guanxiang, Author
Zheng, Qipeng, Committee Chair
Boginski, Vladimir, Committee CoChair
Karwowski, Waldemar, Committee Member
Yong, Jiongmin, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2019
Publisher: University of Central Florida
Language(s): English
Abstract/Description: We study multi-level optimization problem on energy system, transportation system and information network. We use the concept of boundedly rational user equilibrium (BRUE) to predict the behaviour of users in systems. By using multi-level optimization method with BRUE, we can help to operate the system work in a more efficient way. Based on the introducing of model with BRUE constraints, it will lead to the uncertainty to the optimization model. We generate the robust optimization as the multi-level optimization model to consider for the pessimistic condition with uncertainty. This dissertation mainly includes four projects. Three of them use the pricing strategy as the first level optimization decision variable. In general, our models' first level's decision variables are the measures that we can control, but the second level's decision variables are users behaviours that can only be restricted within BRUE with uncertainty.
Identifier: CFE0007881 (IID), ucf:52758 (fedora)
Note(s): 2019-12-01
Ph.D.
Engineering and Computer Science, Industrial Engineering and Management Systems
Doctoral
This record was generated from author submitted information.
Subject(s): Boundedly Rational -- Robust Optimization -- Non-linear Programming -- Linear Programming
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0007881
Restrictions on Access: public 2019-12-15
Host Institution: UCF

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