【Key words】 combinatorial optimization; Ant Colony Algorithm(ACA); assignment problem; dynamic pheromone;
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dynamic pheromone updating 动态信息素更新
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Secondly, the algorithm based on the dynamic pheromone updating ensures the quick convergence and the optimal solution, thus improving the feasibility and the stability of the schedule system.
采用基于动态信息素更新策略的改进蚁群优化算法,在保证优化目标的基础上,迅速收敛并得到最优解,从而提高调度系统的可行性,增强系统稳定性。
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