学术讲座:关于进化计算与传统优化关系的思考


报告题目:关于进化计算与传统优化关系的思考

主讲嘉宾::张青富 香港城市大学 教授  

邀请人:骆剑平

时间:2018年6月15日(周五)上午10:00

地点:深圳大学南区信息工程学院N605会议室
报告摘要:
进化计算是计算智能的重要分支,其早期发现常受自然进化或其它生物群体行为启发。进化计算已成为众多应用领域的重要优化方面,但其理论发展严重滞后。本报告将试图讨论进化优化方法与传统优化的关系,将主要探讨如下这几个问题:1. 遗传算法与梯度法之关系,2. 蚊群算法与梯度法之关系,3. Cma-es 与牛顿法之关系,4.多目标进化算法与传统分解方法之关系。对这些关系的深入研究也许将对进化计算的进一步发展起到积极推动作用。
嘉宾简介:
Qingfu Zhang is a Professor at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. He is currently leading the Metaheuristic Optimization Research (MOP) Group in City University of Hong Kong. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. MOEA/D, a multiobjective optimization algorithm developed in his group, won the Unconstrained Multiobjective Optimization Algorithm Competition at the Congress of Evolutionary Computation 2009, and was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is on the list of the Thomson Reuters 2016 and 2017 highly cited researchers in computer science. He is a Fellow of IEEE. He is a Changjiang chair professor and was selected in 1000 talent program.