Guiqing Liu

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In order to effectively overcome the defects of local and global pheromone updating for the basic Ant Colony Algorithm, this paper has proposed a new improved Ant Colony Algorithm based on the dynamic adaptive weight in the updating strategy. The proposed algorithm can update pheromone dynamically and adaptively according to the change of taboo lists and(More)
To effectively overcome the defects of local and global pheromone updating for the basic Ant Colony Algorithm, this paper has proposed a new improved Ant Colony Algorithm based on the dynamic adaptive weight in the pheromone updating strategy. The proposed algorithm can update pheromone dynamically and adaptively according to the pheromone density and the(More)
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