Mountain City Water Supply Pipe Network Optimization, And The Application Of Genetic Algorithm

With the comprehensive development of national economy,more and more mountain city rapid development。How to make mountain city development better faster and more safety became modern Chinese people should consider and put in more important position of a project。in the mountain city water supply, urban water supply pipe network is one of the most important infrastructure in a water supply system,one of the most important necessary part。Water supply pipe network’s investment proportion is the largest in the whole water supply system, and is closely related to human water infrastructure。The mountain city water prone to a number of problems Such as the elevation difference is big, long distance water supply, water supply pipe network pressure is big, low safety factor. So improve the safety of mountain city water supply pipe network, enhance the optimization of network economy is one of the most task now.This paper generally introduces the general method of water supply pipe network optimization,Then brief introduct the principle of genetic algorithm, the method and the use of genetic operators and so on。According to the characteristics of the mountain city topography, Application of series-parallel zoning system for urban series parallel partition uniform energy analysis of water supply, In combination with mountain city water consumption with the characteristics of the higher terrain height difference can reduce, make energy analysis and calculation of series-parallel partitions。Get whatever water uniform or non-uniform, series-parallel partition saving energy to the same conclusion.Draw lessons from the past assumptions of hierarchical decomposition algorithm, namely each partition before the premise of a pump station. To simplify the partition of the pipe network calculation into a water pipe flow gradually reduce partition calculation, through approximation algorithm, in combination with flow rate as a function of mountainous urban terrain height difference, the last nearly delivery project economy optimal as adaptation function, optimal partition calculation model. Finally through the selection of genetic algorithm for pipe network optimization partitions.Improved genetic algorithm combined with mountain city pressure difference is big, and explosive tube,put a penalty factor to adjacent pipe diameter。By improving the calculation of the coefficient, And make some improvement in the genetic, crossover, mutation operator in the genetic algorithm 。And optimization model is established with reduced cost as objective function。At last, by comparing with some county in Tibet case instance, verify that the model has a certain application value and feasibility...