讲座题目： Recent Progress on decomposition based multiobjective evolutionary computation
讲座嘉宾：张青富教授（Chair Professor）,香港城市大学，中组部-入选者，教育部长江学者，IEEE Fellow
讲座时间： 2019年4月3号周三，上午09:30-10:30
讲座地点：泰山科研楼409
内容摘要：
Over the last ten years, decomposition based multiobjective evolutionary algorithms (MOEA/D) has become a major methodology in the field of evolutionary computation. These algorithms use 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.
讲座嘉宾简介：
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. He was selected in the 1000 talents program. He was a Changjiang visiting chair professor.
