講座題目： Recent Progress on decomposition based multiobjective evolutionary computation
講座嘉賓：張青富教授（Chair Professor）,香港城市大學，中組部-入選者，IEEE Fellow
講座時間： 2019年4月3號周三🧑🏽🦲，上午09:30-10:30
講座地點👨🏼🏭🧑🏻🦽➡️：泰山科研樓409
內容摘要❗️：
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.
講座嘉賓簡介🧮：
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.
