面向供水管网水力模型自动校核问题的改进遗传算法

摘要

The automatic calibration of hydraulic model aims toimprove the accuracy of the model of water supply network intelligent management.Currently,the genetic algorithm is widely used for automatic of hydraulic model.Inview of problems that the standard genetic algorithm has slow convergence and can be easily trapped in local optimal,the paper makes some improvements of this algorithrn.Simulated annealing algorithm is used to stretch the fitness function and the roulette wheel selection method combining elitism strategy is replacing the traditional selection method.Besides,the similarity function is added to avoid the breeding with closest relatives in cross operator and the double convergence criteria is used to reduce unnecessary computation time.The improved genetic algorithm is used to calibrate the water supply hydraulic model of G.The results show that the improved genetic algorithm has better efficiency and accuracy.%水力模型自动校核旨在提高供水管网智能化管理中模型的准确性,目前广泛使用遗传算法进行自动校核.针对标准遗传算法收敛速度慢,并且容易陷入局部最优解的问题,本文对标准遗传算法进了改进,利用模拟退火法对适应度函数进行了拉伸,采用轮盘赌和最优保留策略相合的方法代替传统的选择方法,在交叉操作中加入了相似度函数避免了近亲杂交,并且使用双重收敛判断准则减少不必要的计算时间.引入G市某区域供水管网水力模型为案例,使用改进后的遗传算法进行自动校核.结果表明,改进的遗传算法求解效率和求解精度都有较大的提高.