报告题目：Recent Progress on Decomposition Based Multiobjective Evolutionary Computation
报告人：    张青富 教授(Chair Professor)，香港城市大学, IEEE Fellow
主持人：    周爱民
报告时间：2019年4月2日 周二10:00-11:00   
报告地点：理科大楼B504会议室

报告摘要：
Over the last ten years, decomposition based multiobjective evolutionary algorithms (MOEA/D) have become a major methodology in the field of evolutionary computation. These algorithms uses decomposition techniques from traditional multiobjective optimization to decompose a multiobjective optimization problem into a set of subtasks and then solve them in a collaborative manner. In this talk, 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.

报告人简介：
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.
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 is a 2016, 2017 and 2018 highly cited researcher in Computer Science (Clarivate Analytics) and an IEEE fellow.