Optimization Design Of Rainwater Pipe Network Based On Genetic Algorithm

With the development of society,accelerating the process of city and city continues to expand the scale of metro construction cannot do without supporting the water supply and drainage engineering,therefore,the optimization design of water supply and drainage pipe network is the water supply and drainage is an important research topic.The city water supply and drainage pipe network optimization,not only can guarantee the reliability and economy of the drainage network,but also reduce the project investment has important social and economic benefits.After setting the rainwater pipe network system diagram,to optimize the design of the diameter of slope in the optimal calculation,need to use the rainstorm intensity formula,and the city of Anqing,or the 1981 edition of the storm intensity formula,affected by extreme weather in recent years,the rainstorm intensity generally increased,the actual rainfall condition,the region has no reaction good therefore,an important task of the storm intensity formula of Anqing for the..Genetic Algorithm is a global optimization algorithm for adaptive heuristic and probabilistic iterative,with problem solving robustness,global,independent and parallel,especially suitable for solving parameter optimization problem and nonlinear optimization problems.The main theoretical work of this paper has four aspects: city of short duration rainfall P-? curve fitting parameter optimization,city short duration rainstorm intensity formula parameters optimization,city short duration rainstorm intensity parameter optimization and the general formula of the rain pipe diameter gradient combinatorial optimization problems.These problems are mainly parameter optimization and nonlinear optimization problems,therefore,very suitable for the genetic algorithm to solve.Firstly,the rainfall data of Anqing city from 1983~2012 to analyze,select the P-? curve to fit the original data by curve fitting method,and the parameters of P-? curve using genetic algorithm to optimize the effect of fitting P-? curve,and the original data is the best.Get the rain intensity data of each rainfall,3,5,10,2,20,30,50,100 a total of 8 return period lasted a P~i~T data table from the P-? curve,according to the P~i~T table,using genetic algorithm to optimize the parameters of the formula respectively in the formula of rainstorm intensity and total rainfall intensity,the rain the strength of the minimum value and fitting error of the corresponding values in the P~i~T table,so as to obtain the rainstorm intensity formulas and the total rainstorm intensity formula;finally the rainstorm intensity formula used in subsequent chapters of rainwater pipe network optimization,the computational complexity of design of rain water in the region with the formula,to ensure the accuracy of rainfall,with now the weather conditions,at the end of a rain pipe diameter and slope combined with the genetic algorithm optimization,make the whole network lowest cost.In the course of writing this thesis,the theory and program design of genetic algorithm is studied,using MATLAB language to provide a powerful computing environment,genetic algorithm coded,and ascertaining the rainstorm intensity formula of Anqing city with new data,get the new formula of rainstorm intensity,compared with the rainstorm intensity formula of the 1981 version of the new in recent years,the formula of rainstorm fitting effect is far higher than the old formula.Finally,based on the planning of rainwater pipe network drainage network in Anqing city in a new city as an example,carries on the optimization using genetic algorithm program prepared by the combination of a set of optimal diameter gradient solution obtained by analysis,the diameter of slope combination solution can comply with the design requirements of the effect is very good.