报告题目：Recent Progress on Decomposition Based Multiobjective Evolutionary Computation

报告时间: 2019年6月11日下午3:00

报告地点:科学会堂A710报告厅

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：

张青富，香港城市大学电脑学系讲座教授，教育部长江学者讲座教授。主要从事智能计算、多目标优化及机器学习方面的研究。他提出的多目标分解算法框架已成为目前多目标进化计算领域最常用的框架，他在多目标优化领域的最高单篇文章引用超过三千五百次，总引用近一万七千篇次。他是IEEE会士，连续三年入选Thomson Reuters高被引科学家。