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。

After analyzing the disadvantages of artificial fish school algorithm solving combinational optimization problems, an improved artificial fish school algorithm is put forward.

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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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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.

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