提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
本文研究设计了混沌蚁群优化算法(CACO)，并将该算法应用在无功优化系统中。
Finally, the chaos ant colony optimization (CACO) algorithm is designed and used in reactive power optimization system.
本文研究设计了混沌蚁群优化算法(CACO)，并将该算法应用在无功优化系统中。
Finally, the chaos ant colony optimization (CACO) algorithm is designed and used in reactive power optimization system.
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