人工鱼群算法（artificial fish school algorithm，AFSA）是李晓磊［71等人于2002年提出的一类仿生型 优化算法，具有良好的求取全局极值能力，并具有对初值和...
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Then, the parameter tuning method via artificial fish school algorithm (AFSA) is proposed.
随后提出了采用人工鱼群算法进行参数整定的方法。
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。
After analyzing the disadvantages of artificial fish school algorithm solving combinational optimization problems, an improved artificial fish school algorithm is put forward.
分析了人工鱼群算法求解组合优化问题的不足，提出一种改进人工鱼群算法。
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