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多种群竞争遗传算法及其性能分析
引用本文:吴养会,王乃信,刘瀛洲.多种群竞争遗传算法及其性能分析[J].西北农林科技大学学报(社会科学版),2005,33(4):154-156.
作者姓名:吴养会  王乃信  刘瀛洲
作者单位:西北农林科技大学,生命科学学院,陕西,杨凌,712100
摘    要:在指出传统遗传算法收敛中所存在的收敛速度慢及局部收敛问题的基础上,引入了一种新的改进遗传算法——多种群竞争遗传算法。该算法以种群间竞争为基础,不断淘汰相似个体,并不断补充新个体,增加种群的多样性,以提高收敛速度。最后,用一个典型的测试函数对传统遗传算法和多种群遗传算法进行测试,结果表明多种群遗传算法的性能优于传统遗传算法。

关 键 词:遗传算法  多种群竞争  改进算法
文章编号:1671-9387(2005)04-0154-03
收稿时间:2004/6/28 0:00:00
修稿时间:2004年6月28日

Several populations competed genetic algorithm and its property analysis
WU Yang-hui,WANG Nai-xin,LIU Ying-zhou.Several populations competed genetic algorithm and its property analysis[J].Journal of Northwest Sci-Tech Univ of Agr and,2005,33(4):154-156.
Authors:WU Yang-hui  WANG Nai-xin  LIU Ying-zhou
Institution:(College of Life Sciences,Northwest A & F University,Yangling,Shaanxi 712100,China)
Abstract:In order to avoid the slow-convergence and local convergence of traditional genetic algorithm,an improved genetic algorithm-several populations competed genetic algorithm was proposed in this paper.This algorithm was based on the competition of severtal populations,used unceasing elimination of similar individuals to increase the multiplicity of population,and this paper tested with a complex function for algorithm.The experimental results show this algorithm has great advantage over traditional genetic algorithm.
Keywords:genetic algorithm  severtal populations competition  improved genetic algorithm IGA
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