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对一类带聚类特征TSP问题的并行遗传算法求解
引用本文:胡小兵,黄席樾.对一类带聚类特征TSP问题的并行遗传算法求解[J].计算机工程与应用,2004,40(35):66-68,74.
作者姓名:胡小兵  黄席樾
作者单位:1. 重庆大学数理学院,重庆,400044;重庆大学自动化学院,重庆,400044
2. 重庆大学自动化学院,重庆,400044
摘    要:提出了一种带聚类处理的并行遗传算法,该算法首先对大规模TSP问题进行聚类处理,将其分解成一些小规模TSP问题,然后分别对每个小规模TSP问题利用遗传算法并行求解,最后将所有小规模TSP问题的解按一定规则合并成大规模TSP问题的解。对大规模TSP问题的模拟实验表明该算法极大地提高了遗传算法的收敛速度。

关 键 词:遗传算法  聚类处理  并行实现
文章编号:1002-8331-(2004)35-0066-03

Solving Traveling Salesman Problem with Characteristic of Clustering by Parallel Genetic Algorithm
Hu Xiaobing , Huang Xiyue.Solving Traveling Salesman Problem with Characteristic of Clustering by Parallel Genetic Algorithm[J].Computer Engineering and Applications,2004,40(35):66-68,74.
Authors:Hu Xiaobing  Huang Xiyue
Affiliation:Hu Xiaobing 1,2 Huang Xiyue 21
Abstract:A novel parallel genetic algorithm,Clustering-based Parallel Genetic Algorithm with Clustering Processing(PGA-CP),is proposed in this paper.In PGA-CP algorithm,the large-scale TSP problem is first divided into several small -scale TSP problems by clustering processing and then solving the small -scale TSP problems in parallel by standard genetic algorithm(SGA)respectively.At last the solutions of all small-scale TSP problems are merged into the solution of the large-scale problem.Simulated experiment on large-scale TSP problems show s that the convergence rate of the algorithm is greatly improved.
Keywords:genetic algorithm  clustering processing  parallel implementation
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