Monday, 20 November 2017

Webinar: Decomposition Based Multiobjective Evolutionary Computation

Speaker: Prof. Qingfu ZhangDepartment of Computer Science, City University of Hong Kong qingfu.zhang@cityu.edu.hk
Time: 11am-12pm (GMT), Dec 18, 2017

Abstract
Multiobjective Evolutionary Computation has been a major research topic in the field of evolutionary computation for many years. It has been generally accepted that combination of evolutionary algorithms and traditional optimization methods should be a next generation multiobjective optimization solver. Decomposition methods have been well used and studied in traditional multiobjective optimization. In this talk, I will describe MOEA/D algorithmic framework. MOEA/D 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. It has been a commonly used evolutionary algorithmic framework in recent years. 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. 

Bio
Prof. Qingfu Zhang is a Professor at the Department of Computer Science, City University of Hong Kong, 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 Group in City University of Hong Kong.  MOEA/D, a multiobjective optimization algorithmic framework, developed in his group, is one of the most widely used and researched multiobjective evolutionary algorithmic framework.
Dr. Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Cybernetics. He is also an Editorial Board Member of three other international journals.  He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award.  He is a 2016 and 2017 highly cited researcher in Computer Science (Clarivate Analytics) and an IEEE fellow.  He was selected in the 1000 talents program in China in 2015. He was a Changjiang visiting chair professor with Xidian University, China from 2011 to 2014.

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