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Analysis on Performance of Novel Pheromone Trails Update Strategy in Ant Colony Optimization
一种新的蚁群优化算法信息素更新策略及其性能分析*

Keywords: ant colony optimization(ACO),pheromone update strategy,exploration-exploitation dilemma,Metropolis rule
蚁群优化算法
,信息素更新策略,利用-探索困境,Metropolis接受准则,蚁群优化算法,信息素,更新策略,性能分析,Ant,Colony,Optimization,Strategy,Update,Pheromone,Novel,Performance,有效性,实验验证,规模,接受准则,现象,困境,利用,存在,理论,过程

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Abstract:

An insight into the key procedure of ant colony optimization algorithm was provided.A phenomena called exploration-exploitation dilemma in the pheromone trail update was originally proposed on the basis of the theoretical arguments and experimental results.Hence a novel pheromone trail update strategy was presented based on the principle of Metropolis rule.Experiments on TSP instances with various dimension fully proved the validity of this strategy.

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