• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (11): 60-64.

• 论文 • 上一篇    下一篇

TSP问题的一种改进的GRASP算法

郑雅燕[1] 朱文兴[2]   

  • 出版日期:2008-11-01 发布日期:2010-05-19

  • Online:2008-11-01 Published:2010-05-19

摘要:

本文对Marinakis等提出的扩展邻域GRASP算法进行改进。首先使用最近α值方法构造初始TSP回路,然后运用混合的局部搜索即2-opt算法、双桥策略和3-opt算法来改进初始回路,并且引进α-nearness候选集和don’t-lookbit技术来提高搜索速度。实验结果表明,本文提出的GRASP能够在合理的时间内得到很好的解,并且解的质量优于M~rinakis等提出的扩展邻域GRASP算法得到的解。

关键词: 旅行售货商问题 贪心随机适应性搜索算法 局部搜索算法 候选集

Abstract:

In this paper we propose an improved GRASP algorithm for the traveling salesman problem. Starting with the nearest α-value method to construct an ini tial TSP tour,we apply a hybrid local search method, i. e. , the 2-opt, the doublebridge and the 3-opt methods for the initial tour improvement. To incr ease the local search speed, the a-nearness candidate set and don't-look bit techniques are introduced. The computational results show that the propose ed GRASP gives fairly good solutions in a reasonable time,and the quality of solutions is better than that of the expanding neighborhood GRASP proposed    by Marinakis et al.

Key words: traveling salesman problem;greedy random adaptive search procedure, local search, candidate set