Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.

蚁群算法是一种新型的模拟进化算法，它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。

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This algorithm USES multiple heterogeneous ant colonies in simultaneous optimization calculation.

提出了一种基于信息熵的异类多种群蚁群算法。

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