Solving Optimal Path Problem Based on Improved Ant Colony Algorithm
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    Abstract:

    Efficient optimal path is the key issue of the Ant Colony Algorithm used in road traffic navigation system. Aiming at the problem of slow convergence and stagnation phenomenon of Ant Colony Algorithm, this paper introduce path selection strategy which is based on the heuristic factor of A* algorithm to speed up the convergence. Meanwhile the Double-population strategy of the Genetic algorithm and the pheromone update rules of the Ant Colony System (ACS) are introduced in the algorithm, which avoid stagnation of the algorithm of the algorithm and speed up convergence. The results of the simulation experiment show that the improved algorithm has good stability, global optimization and fast convergence.

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张志协,曹阳.基于改进型蚁群算法的最优路径问题求解.计算机系统应用,2012,21(10):76-80

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  • Received:February 10,2012
  • Revised:March 12,2012
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