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求解TSP问题的拟人算法
引用本文:吴军,李建,胡永泉.求解TSP问题的拟人算法[J].计算机系统应用,2011,20(4):248-250,244.
作者姓名:吴军  李建  胡永泉
作者单位:西南石油大学,计算机科学学院,成都,610500
摘    要:基于贪心算法提出了一种改进的求解旅行商问题(TSP)的拟人算法.该算法采用邻域定义,主要思想是:给定一个所有城市的全排列,依此全排列的指挥用贪心算法生成一个回路.通过城市交换和城市序列平移,在当前的邻域中搜索比它更好的解,如能找到如此的解,则使之成为新的当前解,然后重复上述过程.在搜索的过程中,采取跳坑策略以跳出局部最...

关 键 词:旅行商问题  拟人算法  邻域搜索  子序列平移  跳坑策略
收稿时间:2010/7/29 0:00:00
修稿时间:2010/9/10 0:00:00

Personification Algorithm for Traveling Salesman Problem
WU Jun,LI Jian and HU Yong-Quan.Personification Algorithm for Traveling Salesman Problem[J].Computer Systems& Applications,2011,20(4):248-250,244.
Authors:WU Jun  LI Jian and HU Yong-Quan
Affiliation:WU Jun,LI Jian,HU Yong-Quan(School of Computer Science,Southwest Petroleum University of China,Chengdu 610500,China)
Abstract:In this paper,a personification algorithm for solving the Traveling Salesman Problem(TSP) is proposed,which is based on original greedy algorithm.The algorithm adopts neighborhood definition,the main idea is that to give a full array of all cities,and so full array of command to generate a loop with a greedy algorithm.Through the city exchange and Sub-sequence migration,it generates a better solution in the current neighborhood search.If the solution is found,it becomes the new current solution.Then,repeat ...
Keywords:TSP  personification algorithm  local search  sub-sequence migration  off-trap strategy  
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