在本文中，我们提出了一个新的层次基础人工鱼群优化（AFSO）的路由协议。利用AFSO算法在产业集群的形成阶段，其主要目的是解决NP-hard问题，根据给定的规则发现ķ最佳集群。
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混沌人工鱼群优化算法 CAFSA
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.
论文研究了基于改进的人工鱼群算法的配电网的无功优化，取得了满意的效果。
In this thesis, a research has been made on the reactive power distribution network optimization based on the improved artificial fish swarm algorithm, and achieved satisfactory results.
结果表明基于分解协调的人工鱼群算法收敛性好，提高了计算速率，较好的解决了作物优化配水大系统中常见的变量维数高、约束方程多等问题；
In the result, the artificial fish school algorithm based on decomposition and coordination method shows its advantages on computing speed, convergence and solving dimension difficulty.
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