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A Parallel Genetic Algorithm Based on Allied Strategy

YANG Qi wen,ZHANG Guo hong,JIANG Jing ping (Electrical Engineering Department of Zhejiang University,310027,China)  
Premature convergence has been a main problem in Genetic Algorithms (GAs).In order to prevent premature convergence,the allied strategy of human being is introduce into GAs,and a parallel genetic algorithm based on the allied strategy (PGAAS) is presentod.Excellent performance is showed in compared experiments.A new genetic operator is also used in this paper which establishes the foundation of implementing GAs by hardware.
【Fund】: 教育部博士点基金! (No .970 3352 6) ;; 浙江省自然科学基金! (No.5980 1 9)
【CateGory Index】: TP18
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