遗传算法在消火栓供水优化问题中的应用

Optimization of hydrant water supply based on genetic algorithm

基于现有市政给水管网和灭火作战指挥原则,构建了消火栓供水多目标优化模型。利用MATLAB编程实现遗传算法,同时调用EPANET软件对给水管网模型进行水力平差计算适应度,迭代进化求得优化模型的最优解,科学选取战时所需要的消火栓,使其既能快速出水,又能确保供水稳定不中断。以华南某行政区为例计算,结果表明,利用该方法选取消火栓,供水的可靠性和经济性可达到最佳。

Based on the existing municipal water supply pipe network and the principle of firefighting command, a multi-objective optimization model of fire hydrant water supply was built. The genetic algorithm was programmed by MATLAB,and EPANET software was used to calculate the adaptability of hydraulic adjustment of the waler supply pipe network model. After iterative evolution the opiimum solution was golten, so that the hydrants needed for firefighting can be selected scientifically, which can not only enable the discharge of water quickly, but also ensure that the hydrant water supply is stable and uninlerrupted.Taking a certain administrative region of south Chirm as an example, the model was applied, and the result showed that the reliability and economy of Miwater supply can be optimized by using this method.