Authors: Fahong Yu; Feng He; Meijia Chen; Longhua Ma; Zheming Lu
Addresses: College of Mathematics and Information Engineering, Jiaxing University, Zhejiang, China; Ningbo Institute of Technology, Zhejiang University, Zhejiang, China ' College of Mathematics and Information Engineering, Jiaxing University, Zhejiang, China ' Center of Economic Managing Experiment, Jiaxing University, Zhejiang, China ' Ningbo Institute of Technology, Zhejiang University, Zhejiang, China ' School of Aeronautics and Astronautics, Zhejiang University, Zhejiang, China
Abstract: Aiming at the trouble to track the optima in dynamic environments with estimation of distribution algorithms (EDAs). An estimation of distribution algorithm with scatter search (EDASS) is proposed in this paper. Its basic idea is to employ a scatter search to increase the diversity in a guided fashion and an adaptive leader clustering method to locate multiple local optima. Both the information of current population and the part history information were referred for building probability model. The experimental results show that the EDASS is effective for dynamic optimisation problems.
Keywords: estimation of distribution algorithms; EDAs; dynamic optimisation; clustering; scatter search; probability modelling.
International Journal of Computing Science and Mathematics, 2015 Vol.6 No.3, pp.221 - 231
Available online: 28 May 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article