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Recent works on multi-objective evolutionary optimization

发布日期:2018-05-08浏览次数:10


受中国矿业大学信息与控制工程学院邀请,湘潭大学邹娟副教授在我校举行学术报告。欢迎广大师生踊跃参加!

报告题目:Recent works on multi-objective evolutionary optimization

报告时间:5月10日上午9:00

报告地点:文昌校区逸夫楼邵312

主办单位:信息与控制工程学院

报告内容:

In this presentation, I will introduce 6 recently published papers on multi-objective evolutionary optimization.

Two papers are about the work of the dynamics multi-objective evolutionary optimization. We propose a novel prediction strategy based on center points and knee points (CKPS) consisting of three mechanisms. Another paper proposes a hybrid diversity maintenance method to improve prediction accuracy. The method consists of three steps, which are implemented after an environmental change.

Four papers are about the work of the many-objective evolutionary optimization. One paper presents a many-objective evolutionary algorithm, called Adaptive Neighborhood Selection for Many-objective evolutionary algorithm(ANS-MOEA), to deal with MaOPs. The second paper proposes a proportion-based selection scheme (denoted as PSS) to strengthen the convergence to the PF as well as maintain a good diversity of population. The third paper utilizes grid-based method to maintain balance between convergence and diversity, denoted as RGridEA.

报告人简介:邹娟,女,博士,湘潭大学信息工程学院副教授,主要研究领域为多目标进化优化。主持国家自然科学基金项目1项、主持完成省部级项目3项;排名第2参与国家自然科学基金项目3项。近年发表专著1部《多目标进化优化》;在"Swarm and Evolutionary Computation"、"Applied Soft Computing"、"计算机学报"、"软件学报"等国内外SCI/EI源刊及会议上发表学术论文50余篇,其中SCI期刊收录近20篇。申请发明专利10余项。TEVC、Swarm、ASC等期刊审稿人。


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