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《启发式方法的多目标优化:进展与前沿》北邮“名家进校园

已有 3490 次阅读 2015-1-5 09:33 |个人分类:科学研究|系统分类:科研笔记| Zhang, 多目标优化, Qingfu, 名家进校园

北京邮电大学“名家进校园”讲座:《启发式方法的多目标优化:进展与前沿》

讲座人:Qingfu Zhang

讲座时间:2015年1月7日上午10:00-12:00

讲座主题:启发式方法的多目标优化:进展与前沿

讲座内容简介:

The major research focus of my group is to combine ideas and techniques from evolutionary computation, traditional mathematical programming and machine learning for designing efficient metaheuristic algorithms for dealing with hard search and optimization problemsin fields ranging from engineering design to e-commence and managementplanning. The multiobjective evolutionary optimization algorithms based on decomposition (MOEA/D) developed by us has become one of the most widely used algorithmic framework in the area of multiobjective evolutionary computation.This lecture will present the concept, the main idea and the state-of-the-artof MOEA. You are welcome.

主持人:理学院赵新超教授,计算机学院左兴权副教授

讲座时间:2015年1月7日上午10:00-12:00

讲座地点:北邮本部3-437教室

报告人简介

Prof. of Department of Computer ScienceCityUniversity of Hong KongHK。

主要研究方向:Evolutionary Computation; Metaheuristics; Mathematical Programming; Multiobjective Optimization; Machine Learning

张教授个人主页:http://www.cs.cityu.edu.hk/~qzhang/index.html

欢迎参加!!!




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