Population Diversity Strategy in Gene Expression Programming

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收藏 2011-09-30

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Population Diversity Strategy in Gene Expression Programming
Journal	Advanced Materials Research (Volumes 204 - 210)
Volume	Advanced Research on Industry, Information System and Material Engineering
Edited by	Helen Zhang, Gang Shen and David Jin
Pages	288-292
DOI	10.4028/www.scientific.net/AMR.204-210.288
Citation	Yong Qiang Zhang et al., 2011, Advanced Materials Research, 204-210, 288
Online since	February, 2011
Authors	Yong Qiang Zhang, Jing Xiao
Keywords	Function Finding, Gene Expression Programming, GEP-PDS, Local Optimum
Abstract	Population diversity is one of the most important factors that influence the convergence speed and evolution efficiency of gene expression programming (GEP) algorithm. In this paper, the population diversity strategy of GEP (GEP-PDS) is presented, inheriting the advantage of superior population producing strategy and various population strategy, to increase population average fitness and decrease generations, to make the population maintain diversification throughout the evolutionary process and avoid “premature” to ensure the convergence ability and evolution efficiency. The simulation experiments show that GEP-PDS can increase the population average fitness by 10% in function finding, and decrease the generations for convergence to the optimal solution by 30% or more compared with other improved GEP.
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