DocumentCode :
3096476
Title :
GLS Optimization Algorithm for Solving Travelling Salesman Problem
Author :
Neissi, Nourolhoda Alemi ; Mazloom, Masoud
Author_Institution :
Office of Stand. & Res., Khouzestan RegRegionalional Electr. Co., Ahvaz, Iran
Volume :
1
fYear :
2009
fDate :
28-30 Dec. 2009
Firstpage :
291
Lastpage :
294
Abstract :
Travelling salesman problem (TSP) is well known as one of the combinatorial optimization problems. There are many approaches for finding solution to the TSP. In this paper we used combination of local search heuristics and genetic algorithm (GLS) that has been shown to be an efficient algorithm for finding near optimal to the TSP. We also evaluate the run time behavior and fitness of our approach and compare it with other methods. A reasonable result is obtained and the proposed algorithm is able to get to a better solution in less time.
Keywords :
genetic algorithms; search problems; travelling salesman problems; GLS optimization algorithm; combinatorial optimization problems; genetic algorithm; genetic local search; local search heuristics; travelling salesman problem; Biological cells; Computational complexity; Design for experiments; Genetic algorithms; Genetic mutations; Heuristic algorithms; Space exploration; Traveling salesman problems; Combinatorial Optimization; Genetic Algorithm; Genetic Local Search; Local Search; Metaheuristic; Travelling salesman problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
Type :
conf
DOI :
10.1109/ICCEE.2009.102
Filename :
5380483
Link To Document :
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