• 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 (2): 75-77.

• 论文 • 上一篇    下一篇

基于Rank的进化算法解决多目标TSP问题

王建字 周春光 郭东伟 马彧   

  • 出版日期:2008-02-01 发布日期:2010-05-19

  • Online:2008-02-01 Published:2010-05-19

摘要:

在现代物流应用中,典型的旅行商(TSP)问题是一个单目标优化问题,只反映了最短路程一个因素。将节点的时间窗作为成本损失计算在内,可其将转化为一个反映实际应用需求的多目标优化问题。本文在时间窗成本计算模型基础上,通过使用基于支配解的遗传算法进行优化,得出该问题的Pareto前沿,并通过实验表明了算法的有效性。

关键词: 多目标优化 TSP 支配解

Abstract:

In logistics application, the traditional TSP is a single-objective optimization problem denoting the shortest path. It can be converted to a multi-ob jective optimization problem through calculating the cost loss of the time window. When the time window cost model is built,the Pareto front of this pro blem can be solved by the genetic algorithm based on the domination rank. The efficiency of this process is validated by experimental data.

Key words: multi-objective optimization, traveling salesman problem(TSP);domination solution