学术报告(6月21日):Fitness Landscape Information for Better Optimization Search

发布者:潘春德发布时间:2018-06-15浏览次数:69

受中国矿业大学信息与控制工程学院邀请,日本九州大学高木英行教授在我校举行学术报告。欢迎广大师生踊跃参加!

报告题目:Fitness Landscape Information for Better Optimization Search

间:621日上午900 - 10:20

点:南湖信息与控制工程学院A311

主办单位:信息与控制工程学院

报告内容:We explain several approaches to obtain fitness landscape information and use it to enhance the performance of population-based optimization algorithms. The first approach is to approximate a fitness landscape and estimate the global optimum area from the hyper-surface of the approximated landscape. Unlike a surrogate model which is an approximated landscape for expensive optimization tasks, we must choose approximation approaches that provide us the estimated global optimum point. The second approach is to estimate the convergence point of individuals from their moving directions mathematically. Suppose we define a moving vector as a directional vector from a parent to its offspring. Since individuals aim toward the global optimum according to search generations, we obtain many moving vectors toward to the global optimum and can expect that one point that is the nearest to these moving vector locates near the global optimum. The third approach is to find local optima areas of multimodal tasks, i.e. niche method. Individuals aims not only the global optimum but also local optima especially in early generations. We may be able to separate local areas using the approximated fitness landscape, i.e. the first approach, or using the directions of moving vectors aiming the different local optima. Besides these three topics, we introduce requests from industries, which may be hints for new EC research.

高木英行(TAKAGI, Hideyuki) received the degrees of Bachelor and Master from Kyushu Institute of Design, and the degree of Doctor of Engineering from Toyohashi University of Technology. He was a researcher at Panasonic Central Research labs in 1981 - 1995, an Associate Professor of Kyushu Institute of Design in 1995 - 2003, and is a Professor of Kyushu University now. He was a visiting researcher at UC Berkeley in 1991-1993 hosted by Prof. L. A. Zadeh. He had worked on neuro-fuzzy systems in 1987 - early 1990's and extended his interests to fusing neuro-fuzzy-genetic algorithms and human factors. Now, he aims Humanized Computational Intelligence and is focusing on interactive evolutionary computation (IEC) as well as enhancing evolutionary computation. He has been a volunteer for IEEE Systems, Man, and Cybernetics (SMC) Society. Some of his contributions were/are: Vice President, a member of AdCom/BOG, Chair of SMC Japan Chapter, Technical Committee (TC) Coordinator, Chair of TC on Soft Computing, Distinguished Lecturer, Associate Editor of IEEE Transactions on SMC, Part B / Cybernetics.