A new combined heuristic for the Euclidean traveling salesman problem

被引:0
|
作者
Yang, Fei [1 ]
Lu, Yijiang [1 ]
机构
[1] Tsing Hua Univ, Dept Math Sci, Beijing 100084, Peoples R China
关键词
Euclidean traveling salesman problem (ETSP); heuristics; greedy algorithms; genetic algorithms;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new algorithm for solving, suboptimally, the Euclidean traveling salesman problem (ETSP) is created. The algorithm is a genetic algorithm based on a construction greedy algorithm. Namely, the tour is constructed by the greedy algorithm, and then a genetic algorithm is used to get better results. Extensive computational experiments are performed for several different families of ETSP instances, disclosing that our combined heuristic proves significantly faster in obtaining (relatively) high quality solutions over a wide range of instances.
引用
收藏
页码:102 / 105
页数:4
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