DocumentCode
2028264
Title
Modified edge recombination operators of genetic algorithms for the traveling salesman problem
Author
Nguyen, H.D. ; Yoshihara, I. ; Yasunaga, M.
Author_Institution
Fac. of Eng., Miyazaki Univ., Japan
Volume
4
fYear
2000
fDate
2000
Firstpage
2815
Abstract
This paper describes improvements or edge recombination operators,for solving the traveling salesman problem using a genetic algorithm. The proposed operators were embedded to the GENITOR program to compare with other crossovers. The method was evaluated on a number of well-known benchmarks, e.g. gr96.tsp, d198.tsp, and pcb442.tsp in the TSPLIB. Experimental results show that the modified edge recombination operators have lower,failure rates arid are superior to the conventional edge recombination operators, especially in larger problems. Moreover, they outperform other conventional crossovers in all tested problems
Keywords
genetic algorithms; travelling salesman problems; GA; GENITOR program; TSP; TSPLIB; crossovers; d198.tsp; genetic algorithms; gr96.tsp; modified edge recombination operators; pcb442.tsp; traveling salesman problem; Benchmark testing; Cities and towns; Genetic algorithms; Genetic engineering; Joining processes; NP-complete problem; Optimization methods; Search methods; Spontaneous emission; Traveling salesman problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location
Nagoya
Print_ISBN
0-7803-6456-2
Type
conf
DOI
10.1109/IECON.2000.972444
Filename
972444
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