遗传算法的收敛性研究
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引用本文:汪民乐.遗传算法的收敛性研究[J].计算技术与自动化,2015,(1):58-62
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作者单位
汪民乐 ( 第二炮兵工程大学 理学院,陕西 西安710025) 
中文摘要:遗传算法的收敛性分析是遗传算法研究中的重要问题,直接关系到遗传算法的实际应用价值。给出遗传算法全局收敛性的定义,描述当前遗传算法收敛性分析的主要模型,对自适应遗传算法、并行遗传算法、小生境遗传算法等典型遗传算法的收敛性进行分析,给出相关的研究结果,并指出遗传算法收敛性研究的未来发展方向。研究结果对提高遗传算法收敛性具有参考价值。
中文关键词:遗传算法  全局收敛性  自适应遗传算法  并行遗传算法  小生境遗传算法
 
(Science College of The Second Artillery Engineering University,Xi’an,Shanxi710025,China)
Abstract:The convergence analysis is an important problem in research on Genetic Algorithm. In this paper, the new definition of Genetic Algorithm’s convergence was given,the main models for Genetic Algorithm’s convergence were described, and the typical Genetic Algorithms’ convergence were analyzed, the conclusions were given. Finally,the future efforts were put forward. The results can offer support for improving Genetic Algorithm’s convergence .
keywords:genetic algorithm  convergence  adaptive genetic algorithm  parallel genetic algorithm  niche genetic algorithm
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