自适应遗传算法在环状管网水力计算中的优化设计

介绍了如何应用双重编码的自适应遗传算法对依靠重力供水的环状管网进行水力计算的优化设计。用遗传算法随机生成水头标高和管径,再由随机生成的水头标高和管径求出非线性的流量分配方案和管径组合方案,然后通过自适应遗传算法的交叉和变异操作,使不适应的个体通过交叉和变异成为满足的约束条件的个体,从而达到优化的目的。结果表明,遗传算法在水力计算中有着独特的优势,它能使管网的流量分配和管径选择同时完成。

Loop-type Pipe Networks Design Based on Adaptive Genetic Algorithm

This paper describes how to apply double-coded self-adaptive genetic algorithms based on gravity to supply water to optimize the design of pipe networks.First,use this method to generate the water pressure and diameter by random.Then use the water pressure and diameter to distribute the flow and diameter combinations,and then through the step of crossover and mutation make the not available individuals to meet the constraints of the project design,so as to achieve the purpose of optimization.The results show that this method has a unique advantage in the pipe network,which enables the flow distribution and the diameter options in pipe network simultaneously.