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。
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。
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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