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- W2364848988 abstract "The hybrid annealing algorithm( TSA), combining with the ideal of the Tabu Search( TS) algorithm and the Simulated Annealing( SA) algorithm, is proposed to optimize the well-known Traveling Salesman Problem( TSP). In view of the defect that the search performance of SA is not stable, the TSA algorithm use TS to search initial solutions for several times, to ensure the stable convergence of the algorithm to the global optimal value. Compared with other algorithms, the TSA algorithm has a high precision, strong robustness and rapid convergence. The TSA algorithm has an excellent effect on China31 problem, its optimization results include 15 375, 15 363, 15 352, and 15 335, which all are better than the known best value 15 378." @default.
- W2364848988 created "2016-06-24" @default.
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- W2364848988 date "2014-01-01" @default.
- W2364848988 modified "2023-09-25" @default.
- W2364848988 title "Hybrid annealing algorithm for solving travellling salesman problem" @default.
- W2364848988 hasPublicationYear "2014" @default.
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