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《Acta Electronica Sinica》 2010-07
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The Cellular Genetic Algorithm with Evolutionary Rule

LU Yu-ming1,2,LI Ming1,2,LI Ling1(1.College of Automation,Nanjing University of Aeronautics and Astronautics,Nanjing,Jiangsu 210016,China;2.Key Laboratory of Nondestructive Test,Nanchang Hangkong University,Nanchang,Jiangxi 330063,China)  
In order to mimic the nature more true,according to density and distribution of cell,the dynamitic influence among all individual with each other were considered during evolutionary operation.Therefore,a dynamitic environment is built by the rules of the cellular automata and in turn,the cellular genetic algorithm with evolutionary rules(CEGA) is proposed in this paper.The experimental results of two typical test functions show that CEGA can efficiently remain the diversity of population,carry out the global exploitation,and improve the speed of searching solution.We conclude that moderate density cell is favourable to solution.
【Key Words】: cellular genetic algorithms cellular automata evolutionary rule diversity
【Fund】: 国家自然科学基金(No.60963002);; 航空科学基金(No.2008ZD56003);; 江西省教育厅科技项目(No.GJJ08209)
【CateGory Index】: TP18
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