Estimation of distribution algorithm with scatter search for dynamic optimisation problems Online publication date: Thu, 28-May-2015
by Fahong Yu; Feng He; Meijia Chen; Longhua Ma; Zheming Lu
International Journal of Computing Science and Mathematics (IJCSM), Vol. 6, No. 3, 2015
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.
Online publication date: Thu, 28-May-2015
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