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蚁群算法在迷宫最优路径问题中的应用 被引量:21

Application of Ant Colony Algorithm to Maze Problem
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摘要 该文将蚁群算法应用于迷宫最优路径问题。针对迷宫最优路径问题的特点,将蚁群分成两组,分别从迷宫的起点和终点出发,每只蚂蚁按迷宫的行走规则向前移动。对移动的蚂蚁定义了三种生命周期,只有满足特定行为的蚂蚁所走过的路径才能构成迷宫问题的可行解。对不同规模迷宫问题的实验结果显示,该算法是一种求解迷宫最优路径问题的有效算法。 Ant colony algorithm is applied to maze problem in this paper. First, the ant colony is divided into two sub-colonies, the ants of one sub-colony get out from start point of maze and the other from end point of maze. Each ant move s on the maze by the moving rule of maze problem. Three lifetimes are defined fo r the moving ants and only the ones satisfying some conditions can generat e a feasible solution of maze problem. The experimental results show that the al gorithm is effective for maze problem.
出处 《计算机仿真》 CSCD 2005年第4期114-116,161,共4页 Computer Simulation
关键词 蚁群算法 迷宫问题 最优路径 Ant colony algorithm Maze problem Optimal path
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  • 1马良,学位论文,1999年
  • 2Dorigo M, Maniezzo V, Colorni A. Ant system: optimization by a colony of cooperating agent 26(1): 29-41
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  • 4Dorigo M, Gambardella L M. A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation, 1997,1(1): 53-66
  • 5Dorigo M. And G.Di Caro (1999). The Ant Colony Optimization Meta-Heuristic. In D.Corne, M.Dorigo and F.Glover(eds), New Ideas in Optimization. McGraw-Hill, 1999.(Also available as: Tech. Rep. IRIDIA/99-1,Universite Libre de Bruxelles, Belgium.)

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