应贾育衡老师邀请，12月7日（周二）下午14:00 - 15:00，香港城市大学张青富讲席教授给我院师生做学术报告，具体情况如下：
报告题目：Recent Progress on MOEA/D
报告人：张青富，香港城市大学讲席教授，IEEE FELLOW
时间：2021年12月7日，14:00 - 15:00
参会链接：腾讯会议 ID：431-465-592
https://meeting.tencent.com/dm/f4FlbcTiumMH
摘要：Multiobjective Optimization Evolutionary Algorithms (MOEA/D) have been a widely used and studied evolutionary multiobjective optimization algorithmic framework over the last ten years. MOEA/D borrows ideas from traditional optimization. It 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. 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.
报告人简历：Qingfu Zhang is a Chair Professor of Computational Intelligence at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. MOEA/D developed by his team has been one of the most widely used multiobjective optimization methodologies.
Professsor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Cybernetics. He is a Web of Science highly cited researcher in Computer Science for five consecutive years from 2016. He is an IEEE fellow.
