A memetic algorithm with optimal recombination for the asymmetric travelling salesman problem

被引:18
|
作者
Eremeev, Anton, V [1 ,2 ]
Kovalenko, Yulia, V [3 ]
机构
[1] SB RAS, Omsk Dept, Sobolev Inst Math, 13 Pevtsov Str, Omsk 644043, Russia
[2] RAS, Inst Sci Informat Social Sci, 51-21 Nakhimov Ave, Moscow 117997, Russia
[3] SB RAS, Sobolev Inst Math, 4 Akad Koptyug Ave, Novosibirsk 630090, Russia
基金
俄罗斯科学基金会;
关键词
Optimal recombination; Local search; Restart rule; Computational experiment; LOCAL SEARCH; GENETIC ALGORITHM; OPTIMIZATION;
D O I
10.1007/s12293-019-00291-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new memetic algorithm with optimal recombination for the asymmetric travelling salesman problem (ATSP). The optimal recombination problem (ORP) is solved in a crossover operator based on a new exact algorithm that solves the ATSP on cubic digraphs. A new mutation operator makes random jumps in 3-opt or 4-opt neighborhoods. The initial population is constructed by means of greedy constructive heuristics. The 3-opt local search is used to improve the initial and the final populations. A computational experiment on the TSPLIB instances shows that the proposed algorithm yields results competitive to those of other well-known algorithms for ATSP and confirms that the ORP may be used successfully in memetic algorithms.
引用
收藏
页码:23 / 36
页数:14
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