人工鱼群算法(AFSA)是一种新型的群智能随机全局优化技术。
Artificial fish swarm algorithm (AFSA) is a stochastic global optimization technique proposed lately.
人工鱼群算法(AFSA)是一种新型的寻优策略，它具有鲁棒性强，全局收敛性好，以及对初值的不敏感性等优点。
Artificial Fish-Swarm Algorithm (AFSA) is a novel optimizing method. It has a strong robustness and good global astringency, and it is also proved to be insensitive to initial values.
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。
This paper proposed a novel hybrid algorithm for clustering analysis based on artificial fish-school algorithm and K-means.
算法测试表明：改进后的人工鱼群算法提高了收敛速度，增强了全局搜索能力。
Algorithm tests show that this algorithm can improve the speed of convergence efficiently and is good at global searching in solution space.
算法测试表明：改进后的人工鱼群算法提高了收敛速度，增强了全局搜索能力。
Algorithm tests show that this algorithm can improve the speed of convergence efficiently and is good at global searching in solution space.
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