講座名稱：Recent Progress on MOEA/D

講座人：張青富 教授

講座時(shí)間：11月15日15:30

地點(diǎn)：騰訊會(huì)議直播（ID：496 594 582）

講座人介紹：

張青富，香港城市大學(xué)計(jì)算機(jī)科學(xué)系計(jì)算智能講座教授，IEEE Fellow. 他曾任英國Essex大學(xué)計(jì)算機(jī)與電子工程學(xué)院教授，國家級(jí)人才。他的主要研究領(lǐng)域包括計(jì)算智能，多目標(biāo)優(yōu)化與決策，啟發(fā)式算法及其應(yīng)用，他所提出的MOEA/D 算法是進(jìn)化計(jì)算領(lǐng)域最常用的算法框架之一。已廣泛應(yīng)用于工程設(shè)計(jì)領(lǐng)域。他七次入選web of science 高被引研究者。他是IEEE Trans on Evolutionary Computation and IEEE trans on Cybernetics 副主編，是《信息與智能學(xué)報(bào)（英文）》（Journal of Information and Intelligence）的編委。

講座內(nèi)容：

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.

主辦單位：期刊中心