该文应用多种群蚁群算法来解决这个问题。
In this paper, Multiple Ant Colony Optimization is applied to solve this problem.
提出了一种基于信息熵的异类多种群蚁群算法。
This algorithm USES multiple heterogeneous ant colonies in simultaneous optimization calculation.
使用拥塞控制策略改善算法的全局寻优能力，同时引入多种群的思想，提出了带拥塞控制多种群二元蚁群算法。
An improved binary ant-colony algorithm based on congestion control strategy and multi-population is proposed to over-come these disadvantages.
使用拥塞控制策略改善算法的全局寻优能力，同时引入多种群的思想，提出了带拥塞控制多种群二元蚁群算法。
An improved binary ant-colony algorithm based on congestion control strategy and multi-population is proposed to over-come these disadvantages.
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