受自然界共生现象的启发，将微粒群算法和协同进化相结合，提出了一种多微粒群协同进化算法。
Illumined by phenomenon of co-evolution in nature, particle swarm optimization is combined with co-evolution, a multi-particle swarm co-evolution algorithm is presented.
该算法通过将整个搜索空间分割成若干子空间，在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。
The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.
本文将改进的微粒群算法应用于人脸检测的预处理中，对皮肤概率灰度图像进行阈值化处理，依据肤色分割人脸图像，得到基于肤色的二值图像。
Gray image about skin probability is processed by threshold. According to the color of skin, image containing faces is segmented, and the binary image can be got based on skin-color.
本文将改进的微粒群算法应用于人脸检测的预处理中，对皮肤概率灰度图像进行阈值化处理，依据肤色分割人脸图像，得到基于肤色的二值图像。
Gray image about skin probability is processed by threshold. According to the color of skin, image containing faces is segmented, and the binary image can be got based on skin-color.
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