DocumentCode :
3296986
Title :
An Improved Heuristic Crossover Operator for TSP
Author :
Zhou, Cong ; Zheng, Jinhua ; Li, Wangyi
Author_Institution :
Inst. of Inf. Eng., Xiangtan Univ., Xiangtan
Volume :
1
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
541
Lastpage :
545
Abstract :
TSP (traveling salesman problem) is one of the typical NP-hard problem in combination optimization. For salving the problem, genetic algorithm is better than traditional ones obviously, and there are also many crossover operators used to get hypo-optimization route. Base on heuristic crossover by Lixin Tang, a new crossover operator is conducted. The crossover preservers the segment of effective genes, then mobile window operator and neighborhood identification operator are used to fasten the algorithm convergence. The example shows that the new crossover operator is useful.
Keywords :
computational complexity; genetic algorithms; travelling salesman problems; NP-hard problem; genetic algorithm; heuristic crossover operator; traveling salesman problem; Biological cells; Biological systems; Cities and towns; Computer applications; Convergence; Encoding; Evolution (biology); Genetic algorithms; NP-hard problem; Search problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.514
Filename :
4666904
Link To Document :
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