This paper proposed a novel hybrid algorithm for clustering analysis based on artificial fish-school algorithm and K-means.

结合人工鱼群算法的全局寻优优点提出了一种基于人工鱼群算法的K -平均混合聚类分析算法。

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Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA), this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.

针对基本人工鱼群算法存在的不足，根据高斯变异和历史最优鱼个体状态，提出自适应高斯变异人工鱼群算法。

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By bringing the thought of swarm intelligence into particle filtering, a novel particle filter based on the artificial fish school algorithm is proposed.

将集群智能思想引入粒子滤波，提出一种新颖的基于人工鱼群算法的粒子滤波器。

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