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基于邻域搜索的混合遗传算法及其在对称TSP中的应用
引用本文:陆子强,郭国雄,蒋金山.基于邻域搜索的混合遗传算法及其在对称TSP中的应用[J].计算机工程与应用,2005,41(7):79-81,96.
作者姓名:陆子强  郭国雄  蒋金山
作者单位:华南理工大学应用数学系,广州,510640;华南理工大学应用数学系,广州,510640;华南理工大学应用数学系,广州,510640
基金项目:国家自然科学基金资助项目(编号:19901009)
摘    要:基于邻域搜索的混合遗传算法是综合了遗传算法和邻域搜索算法各自优势的全局搜索算法。它既有遗传算法的全局搜索能力,又有高效的局部搜索能力。该算法较好地解决了两种不同算法结合所产生的矛盾。通过对对称TSP的实验表明,算法具有良好的全局寻优性能并得到很好的结果。

关 键 词:邻域搜索  混合遗传算法  TSP
文章编号:1002-8331-(2005)07-0079-03

A Hybrid Genetic Algorithm Based on Neighborhood Search and its Application in Symmetry TSP
Lu Ziqiang,Guo Guoxiong,JIANG Jinshan.A Hybrid Genetic Algorithm Based on Neighborhood Search and its Application in Symmetry TSP[J].Computer Engineering and Applications,2005,41(7):79-81,96.
Authors:Lu Ziqiang  Guo Guoxiong  JIANG Jinshan
Abstract:A hybrid genetic algorithm based on neighborhood search is a global search algorithm which combines the respective advantages of hybrid genetic algorithm and neighborhood search algorithm.It has a global searching capacity of genetic algorithm as well as effective local searching capacity.This algorithm resolves contradictions between two different kinds of algorithms.The experimental research on symmetry TSP shows that this algorithm has a good performance of global searching and has obtained good results.
Keywords:neighborhood search  hybrid genetic algorithm  TSP
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