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6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
A Hybrid Method for Solving Traveling Salesman Problem
Melbourne, Australia
July 11-July 13
ISBN: 0-7695-2841-4
Bager Zarei, Islamic Azad University, Iran
M. R. Meybodi, Amirkabir University, Iran
Mortaza Abbaszadeh, Islamic Azad University, Iran
One of the important problems in graphs theory is TSP. Both learning automata and genetic algorithms are search tools which are used for solving many NPComplete problems. In this paper a hybrid algorithm is proposed to solve TSP. This algorithm uses both GA and LA simultaneously to search in state space. It has been shown that the speed of reaching to answer increases remarkably using LA and GA simultaneously in search process, and it also prevents algorithm from being trapped in local minimums. Experimental results show the superiority of hybrid algorithm over LA and GA.
Citation:
Bager Zarei, M. R. Meybodi, Mortaza Abbaszadeh, "A Hybrid Method for Solving Traveling Salesman Problem," icis, pp.394-399, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
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