Taking minimizing annual operating cost as an object function, the method employed hereditary algorithm to get optimal compensatory places (non-node) and capacity.
该算法以年运行费用最小为目标函数，运用遗传算法求出最佳的补偿地点(非节点)和最优补偿容量。
A predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed.
利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。
A predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed.
利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。
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