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With the simulated annealing algorithm traveling salesman problem

0,80,30,46,fred perry singapore,59,95,62,88,39,65,67,27,54,72,48,6,43,91,74,98,77,58,56. 36,christian louboutin shoes,71, 70,4,35,18,32,9,20,57,12,26,11,85. 49,45,33,13,24,75,34,44,15,63,93,66,52, 82,31,78,61,25,37,87,14,64,68,38,55,83. 73. 47,99,2,53,92,1,19,28,17,60,50, 16,5,21,69,41,ropa ed hardy, Xie-Hua Sun 1: The simulated annealing algorithm for Traveling Salesman Problem 40.96. 81,84,3,94,76,79, df a 0.00000016098: A 1676.369019, P-0,79,76,94,3,84,81. 96,40,41,69,21,5,16,50,60,17,28,19,1,92,53,2,99, 47,73,83,55,38,68,64,14,87,37,25,61,78,31,82,52,66,93,63,15,44,34,75,24,13, 33,45,49,85,11,26,12,57,32,35,18,4,9,20,70,71,36,56,58,77,98,74,91,43,6, 48,72. 54,27,67,65,39,62,88,95,59,46,30,80,10,23,90,89,22,42,7,97,86,51,8, df eleven 2.093656 ===:= a ===== a ===== a ==: = Finally, acc-num a 385, donum-l1. themini-mumff an 1653.334961, P a 0,79,76,94,3,84,81,96,40,41,69,21,5,16,50,60,17,28,19,1, 92,53,2,99,66,47,73,83,55,38,68,64,14,87,37,25,61,78,31,82,52,93,63,15,44, 34. 75,24,13,33,45,49,85,11,26,12,57,32,18,35,christian louboutin sko,4,9,20,70,abercrombie deutschland,71,36,56,58,77,98, 74,91,43,6,48,72,54,27,67,65,39,88,62,95,59,46,30,80,10,23,90,89,29,22,42, 7,97,86,51,8. Initialtempla-turet a 0.2, Currenttemplaruret = 0.062762Theexecutedtime = 13sec. Total length = 12808.195312 Figure 1TSP initial road map The report shows that this experiment was 11 cycles. Most accept the solution corresponding df are all negative. But also allows for the positive solution acceptable df. Simulated annealing algorithm is the solution in terms of conditional accept a lower standard procedure to avoid the premature convergence of the suboptimal solution. This procedure also used simulation solution in the line graph, in which only lists the first cycle corresponds to the initial circuit diagram (see Figure 1) and the road map for the final result (see Figure 2). [1] [2] [3] [4] [5] [6] total length = 1653.334961 Figure 2TSP final road map 【Reference】 Zhou Ming, SUN Shu-dong. Principle and Application of genetic algorithms [M]. National Defence Industry Press, 2000. D. S. Hochbaum. ApproximationalgorithmsforNP-HardProblems [M]. World Book Publishing, 1995. Chen GL, et al. Genetic algorithm and its application [M]. Posts & Telecom Press. 1999. Shi-Yi Shen. Neural network theory and its application [M]. Science Press, 1998. Kang Hill. A non-numerical parallel algorithms simulated annealing algorithm [M]. Science Press. 1997. Sun Xia, et al. Fractal theory and its application [M]. Science and Technology University Press, 2003.

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