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。
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。
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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