Sub swarm optimization algorithm, and the second algorithm is used to solve the traveling salesman problem. In order to enhance the local search capability, adding inverted improved algorithm, local search and other methods, while taking advantage of genetic algorithm characteristics of strong global search capability to find the solution for further optimization, while the global optimal path for search terms through the application of the method to eliminate cross paths optimized.

进粒子群优化算法的旅行商问题求解.pdf

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