CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 1994, Vol. 11 ›› Issue (3): 278-282.
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Chen Jun, Chen Tianlun, Huang Wuqun
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Abstract: The nearest neighbour relation between cities on random triangle lattice has been used to construct a tour subspace and to solve the traveling salesman problem. With importance sampling simulated annealing method and subtour optimization method, the efficiency has been raised obviously. Near optimal solutions are obtained in shorter computation time.
Key words: random triangle lattice, importance sampling, simulated annealing, traveling salesman problem
CLC Number:
O224
Chen Jun, Chen Tianlun, Huang Wuqun. THE TRAVELING SALESMAN PROBLEM: OPTIMIZATION BY IMPORTANCE SAMPLING SIMULATED ANNEALING METHOD[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 1994, 11(3): 278-282.
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http://www.cjcp.org.cn/EN/Y1994/V11/I3/278