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