The Application Of Genetic Algorithm Based On Interger Number Codingon Optimal Design Of Water Supply Networks

Genetic Algorithm adopted a stochastic evolutionary mechanism in controlling optimal processes. It can be used to solve the combined optimization problems in discrete calibre, and is regarded as great advancement in optimization techniques. In the optimal design of loop pipe networks, an improved genetic algorithm (IPGA) based on integer coding is introduced in this paper. Not only the problem of coding redundancy is avoided, but also the practicability and computation efficiency are greatly improved. Also the optimal calibre combination scheme can be got within a larger solution space and the goal of less investment is realized.Based on the optimal design methods of city water supply networks from home and abroad and problems faced by present water supply networks' system, this paper did some research on IPGA and its application in optimal design of city water supply networks. After hydraulic calculation analysis, design of optimal models, and computer analysis of water supply networks, a computation program for optimal design was wrote by IPGA. Some improvement was made on the algorithm. From the example we used in this paper, we can draw the conclusion that better economic effects are reached with the IPGA aided design. It is proved that IPGA has prosperous application in the field of optimal design of water supply networks.