應賈育衡老師邀請，12月7日（周二）下午14:00 - 15:00，香港城市大學張青富講席教授給bet356手机版唯一官网師生做學術報告，具體情況如下：
報告題目：Recent Progress on MOEA/D
報告人：張青富，香港城市大學講席教授，IEEE FELLOW
時間：2021年12月7日，14:00 - 15:00
參會鍊接：騰訊會議 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.
報告人簡曆：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.