學(xué)術(shù)講座：關(guān)于進(jìn)化計算與傳統(tǒng)優(yōu)化關(guān)系的思考
報告題目：關(guān)于進(jìn)化計算與傳統(tǒng)優(yōu)化關(guān)系的思考
主講嘉賓：：張青富 香港城市大學(xué) 教授
邀請人：駱劍平
時間：2018年6月15日（周五）上午10:00
地點(diǎn)：深圳大學(xué)南區(qū)信息工程學(xué)院N605會議室
報告摘要：
進(jìn)化計算是計算智能的重要分支，其早期發(fā)現(xiàn)常受自然進(jìn)化或其它生物群體行為啟發(fā)。進(jìn)化計算已成為眾多應(yīng)用領(lǐng)域的重要優(yōu)化方面，但其理論發(fā)展嚴(yán)重滯后。本報告將試圖討論進(jìn)化優(yōu)化方法與傳統(tǒng)優(yōu)化的關(guān)系，將主要探討如下這幾個問題：1. \r
遺傳算法與梯度法之關(guān)系，2. 蚊群算法與梯度法之關(guān)系，3. Cma-es \r
與牛頓法之關(guān)系，4.多目標(biāo)進(jìn)化算法與傳統(tǒng)分解方法之關(guān)系。對這些關(guān)系的深入研究也許將對進(jìn)化計算的進(jìn)一步發(fā)展起到積極推動作用。
嘉賓簡介：
Qingfu \r
Zhang is a Professor at the Department of Computer Science, City University of \r
Hong Kong. His main research interests include evolutionary computation, \r
optimization, neural networks, data analysis, and their applications. He is \r
currently leading the Metaheuristic Optimization Research (MOP) Group in City \r
University of Hong Kong. Professor Zhang is an Associate Editor of the IEEE \r
Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. \r
MOEA/D, a multiobjective optimization algorithm developed in his group, won the \r
Unconstrained Multiobjective Optimization Algorithm Competition at the Congress \r
of Evolutionary Computation 2009, and was awarded the 2010 IEEE Transactions on \r
Evolutionary Computation Outstanding Paper Award. He is on the list of the \r
Thomson Reuters 2016 and 2017 highly cited researchers in computer science. He \r
is a Fellow of IEEE. He is a Changjiang chair professor and was selected in 1000 \r
talent program.
