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基于分等级搜索的可持续进化算法研究
引用本文:李少波,陈茜,胡建军.基于分等级搜索的可持续进化算法研究[J].中国机械工程,2006,17(11):1162-1165,1187.
作者姓名:李少波  陈茜  胡建军
作者单位:1. 贵州大学,贵阳,550003
2. 美国南加州大学,洛杉矶,90007
基金项目:中国科学院资助项目;贵州省科研项目
摘    要:通过分析标准遗传算法在可持续性进化方面的缺陷,提出了HFC模型及其运算流程,井给出了详细的数学描述。HFC算法的分等级搜索方式改进了标准遗传算法的缺陷,是一种能实现可持续性进化的算法模型。HFC模型不仅能确保种群的多样性,而且保证了个体间的公平竞争。实例验证了HFC模型和标准遗传算法在相同问题上的不同效果。

关 键 词:分等级搜索  可持续进化算法  标准遗传算法  适应性函数  HFC模型
文章编号:1004-132X(2006)11-1162-04
收稿时间:2005-11-14
修稿时间:2005-11-14

Study on Sustainable Evolutionary Algorithm Based on Hierarchical Search
Li Shaobo,Chen Xi,Hu Jianjun.Study on Sustainable Evolutionary Algorithm Based on Hierarchical Search[J].China Mechanical Engineering,2006,17(11):1162-1165,1187.
Authors:Li Shaobo  Chen Xi  Hu Jianjun
Affiliation:1. Guizhou University, Guiyang, 550003; 2. University of Southern California, Los Angeles ,CA, 90007
Abstract:This paper proposed the HFC(Hierarchical Fair Competition) model and its operation flow,and described amply the algorithm of the model by mathematics.The hierarchical searching mode of the algorithm improves the flaw of standard genetic algorithm.As a kind of sustainable evolution model,the HFC model can guarantee the multiplicity of the population,and(ensure) the fair competition during individuals.In addition,regarding wire question as the example of application,the evolution course of HFC model has been realized through the GA platform and MATLAB software.Finally,this paper proves that compared with the standard genetic algorithm the HFC model has superiority even more.
Keywords:hierarchical search  sustainable evolutionary algorithm  standard genetic algorithm  adaptability function  HFC model
本文献已被 CNKI 维普 万方数据 等数据库收录!
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