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张兴义: Multi-objective evolutionary algorithms for solving complex optimization problems
发布日期:2017-11-13  字号:   【打印

报告时间:2017年11月15日(星期三)10:00

报告地点:逸夫楼408会议室

  :张兴义 教授、博士生导师

工作单位:安徽大学计算机科学与技术学院生物智能与知识发现研究所

举办单位:计算机与信息学院

报告简介

Multi-objective evolutionary algorithms have been verified to be a useful technology for solving optimization problems during the last two decades, however, much work still deserves further investigations when addressing complex optimization tasks. In this talk, I will first briefly introduce the multi-objective evolutionary algorithms, and then mainly focus on threemulti-objective evolutionary algorithms recently suggested by us to tackle complex optimization problems. The three works included in this presentation are: 1) a knee point driven evolutionary algorithm for many-objective optimization problems, 2) a decision variable clustering based evolutionary algorithm for large-scale optimization problems, and 3) a multi-objective evolutionary algorithm for task-oriented pattern mining task.

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