郑州大学计算智能实验室

Computational Intelligence Laboratory

匹兹堡大学曾波博士学术访问交流


2018817日,IEEE郑州大学学生分会和郑州大学计算智能实验室特邀匹兹堡大学工业工程系和电气与计算机工程系的曾波副教授为广大研究生作专题学术报告。

报告题目Robust and Chance Constrained Optimization in Power and Logistics Systems

报告人 Dr. Bo Zeng

报告时间2018817日上午 10:30

报告地点:电气工程学院4楼会议室

报告人简介

Dr. Bo Zeng is an associate professor of Dept. of Industrial Engineering and Dept. of Electrical & Computer Engineering at the University of Pittsburgh. Prior to that, Dr. Zeng served as a faculty member of Dept. of Industrial and Management Systems Engineering at the University of South Florida. He received Ph.D. of Operations Research from School of Industrial Engineering at Purdue University. Dr. Zeng’s research focuses on optimization theory and methodology, particularly on discrete and multilevel optimization, and their applications in power, transportation, healthcare and other cyber-physical systems. He is widely published in Mathematical programming, Discrete optimization, IEEE Trans. on Automatic Control, on Power Systems, and on Smart Grids.

报告主要内容

In this talk, we cover our research on algorithm development for optimization with uncertainties, including difficult two-stage robust and chance-constrained optimization. Recent exact algorithms and their extensions will be discussed and analyzed. Then, a few applications to address challenges arising in power and logistics systems will be described, and new modeling capacity along with non-trivial management insights will be presented. Finally, we highlight the superior computational performance over traditional approaches on computing large-scale real instances.



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