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- 2012-11-26
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Description: Ant colony algorithm is developed through the simulation of ant foraging out of a new heuristic algorithm population-based collaboration and learning that the algorithm has been successfully resolved the problem, such as × ≥ ° a variety of combinatorial optimization problems proposed in this paper a kinds of adaptive pheromone-based ant colony algorithm to improve the algorithm based on artificial ants obtained by solution of dynamically adjust the pheromone on the path which makes the algorithm jumped off the local optimal solution results obtained through simulation experiments show that The algorithm for improved ant colony algorithm has good effect
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自适应调整信息素的蚁群算法.pdf
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