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学术报告第201767期

发布时间:2017-12-05 编辑:汪昭 来源:

报告题目:Decomposition Based Multiobjective Evolutionary Computation

报 告 人:张青富 教授(香港城市大学)

报告时间: 1271030

报告地点:南一楼中311

Abstract: Multiobjective Evolutionary Computation has been a major   research topic in the field of evolutionary computation for many years. It   has been generally accepted that combination of evolutionary algorithms and   traditional optimization methods should be a next generation multiobjective   optimization solver. Decomposition   methods have been well used and studied in traditional multiobjective   optimization. In this talk, I will describe MOEA/D algorithmic framework.   MOEA/D decomposes a multiobjective problem into a number of subtasks, and   then solves them in a collaborative manner. MOEA/D provides a very natural   bridge between multiobjective evolutionary algorithms and traditional   decomposition methods. It has been a commonly used evolutionary algorithmic   framework in recent years. I will explain the basic ideas behind MOEA/D and   some recent developments. I will also outline some possible research issues   in multiobjective evolutionary computation.

 

Short CV: Prof. Qingfu Zhang is   a Professor at the Department of Computer Science, City University of Hong   Kong, Hong Kong. His main research interests include evolutionary   computation, optimization, neural networks, data analysis, and their   applications. He is currently leading the Metaheuristic Optimization Research   Group in City University of Hong Kong. MOEA/D, a multiobjective optimization   algorithmic framework, developed in his group, is one of the most widely used   and researched multiobjective evolutionary algorithmic framework.

Dr. Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Cybernetics. He is also an Editorial Board Member of three other international journals. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is a 2016 and 2017 highly cited researcher in Computer Science (Clarivate Analytics) and an IEEE fellow. He was selected in the 1000 talents program in China. He was a Changjiang visiting chair professor with Xidian University, China.