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Automatic Design of Metaheuristic Algorithms for Solving Real World Application Problems
发布时间:2023-12-15     浏览量:   分享到:

报告人: 史玉回讲席教授

报告地点:永利官网长安校区文津楼3427

报告时间:2023年12月16日15:00

主办单位:永利yl23411

报告题目:Automatic Design of Metaheuristic Algorithms for Solving Real World Application Problems

摘要

This talk will introduce the automatic design of metaheuristic algorithms for solving real world application problems. First, a real world application problem, i.e., power system restoration problem, will be used as an example for illustration. The power system restoration problem will be represented as an optimization problem, which usually is difficult to solve mathematically. Second, the reasons for the necessity of utilizing metaheuristic algorithms to solve these optimization problems and the difficulty of selecting a suitable existing metaheuristic algorithm and tuning of its corresponding parameters will be discussed, which leads to the necessity of automatic design of the metaheuristic algorithm for solving the power system restoration problem. Third, the automatic design method will be introduced in detail, followed by experimental results on some benchmark problems to demonstrate the effectiveness and efficiency of the proposed design method.

报告人简介:

Dr. Yuhui Shi is a Chair Professor in the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. Before joining SUSTech, he was with the Department of Electrical and Electronic Engineering at the Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, from January 2008 to August 2017, and was with the Electronic Data Systems Corporation (EDS), Indiana, USA, from October 1998 to December 2007. He is an IEEE Fellow, and the Editor-in-Chief of the International Journal of Swarm Intelligence Research. Dr. Shi co-authored a book on Swarm Intelligence together with Dr. James Kennedy and Dr. Russell C. Eberhart, and another book on Computational Intelligence: Concept to Implementation together with Dr. Russell C. Eberhart.