报告题目：POPULATION CONTROL IN MULTIOBJECTIVE  PARTICLE SWARM OPTIMIZATION

报告人：Gary G. Yen, Ph.D., IEEE Fellow（School of Electrical and Computer Engineering, Oklahoma State University )

报告时间：2010年5月25日10：00

报告地点：学院会议室（望江校区基础教学大楼B314）

报告内容：

Evolutionary computation is the study of biologically motivated computational paradigms which exert novel ideas and inspiration from natural evolution and adaptation.  The application of population-based heuristics in solving Multiobjective Optimization Problems has been receiving a growing interest from computational intelligence community.  To search for a family of “acceptable” solutions, a so called Pareto set, by using population-based parallel searching ability, several MultiObjective Particle Swarm Optimization (MOPSOs) have been proposed.  However, most of these designs have difficulty in dealing with the trade-off between uniformly distributing the computational resources and finding the near-complete and near-optimal Pareto set.  On the other hand, according to the No Free Lunch theorems, no formal assurance of an algorithm’s general effectiveness exists if insufficient knowledge of the problem characteristics is incorporated into the algorithm domain.  In this talk, population control is being implemented into particle swarm optimization, differential evolution and artificial immune system for a more effective design of multiobjective optimization.  We will propose works along this line of research in dynamically regulating the population as needed in different stage of evolutionary process, some voluntary while others compulsory, in pursuing a uniformly distributed, near optimal, and close to complete Pareto front for a given MOP.  Through numerical study, we will show these designs incorporating population control strategy provide very competitive performances qualitatively and quantitatively compared to some chosen state-of-the-art evolutionary algorithms.

报告人简介：

Gary G. Yen received the Ph.D. degree in electrical and computer engineering from the University of Notre Dame, Notre Dame, Indiana in 1992.  He is currently a Professor in the School of Electrical and Computer Engineering, Oklahoma State University (OSU).  Before he joined OSU in 1997, he was with the Structure Control Division, U.S. Air Force Research Laboratory in Albuquerque, New Mexico.  His research is supported by the DoD, DoE, EPA, NASA, NSF, and Process Industry.  His research interest includes intelligent control, computational intelligence, evolutionary multiobjective optimization, conditional health monitoring, signal processing and their industrial/defense applications.

Gary was an associate editor of the IEEE Transactions on Neural Networks and IEEE Control Systems Magazine during 1994-1999, and of the IEEE Transactions on Control Systems Technology, IEEE Transactions on Systems, Man and Cybernetics and IFAC Journal on Automatica and Mechatronics.  He is currently serving as an associate editor for the IEEE Transactions on Evolutionary Computation and International Journal of Swarm Intelligence Research.  He served as the General Chair for the 2003 IEEE International Symposium on Intelligent Control held in Houston, TX and 2006 IEEE World Congress on Computational Intelligence held in Vancouver, Canada.  Gary served as Vice President for the Technical Activities, IEEE Computational Intelligence Society in 2004-2005 and is the founding editor-in-chief of the IEEE Computational Intelligence Magazine from 2006 to 2009. He is currently serving as President of the IEEE Computational Intelligence Society in 2010-2011.  He is a Fellow of IEEE.

欢迎感兴趣的老师和学生参加！

  宣传与外事科

                                                    2010年5月24日