Research And Pranctice On Optimal Design Of Sewage Pipe Network Based On Improved Adaptive Genetic Algorithm

This paper is based on explicit sewage pipelines,and to optimize the design parameters of the new sewage pipe network.With the development of analytical methods and computer technology,many of the genetic algorithm is applied to optimization design of the sewage pipe network,the method adopts the fixed crossover probability and mutation probability,the algorithm in the search process in the middle and is prone to the phenomenon of local optimum,especially in large,nor the individual evolutionary multiply genotype is simulated in Darwin's theory of evolution "survival of the fittest in natural selection principle,the survival of the fittest," because this is only limited to pipe network optimization design of small,can not be applied to the design of large scale network,and the hydraulic sewage pipe network simulation is very few,for optimization design of sewerage system is only limited to the theoretical calculation.For the above problems,the new adaptive genetic algorithm based on the And the sewage pipe network calculation method,to optimize the design of the new line has set the sewage pipe network,based on the SWMM model software for the simulation of the actual operation of the optimized design,to ensure the implementation of the scheme is as follows:1.On the basis of determining the layout of the sewage pipe network,according to the hydraulic characteristics of the sewage pipe network,a hydraulic calculation model for the optimization of the sewage pipe network is established.2.Summarizes the advantages and disadvantages of the traditional genetic algorithm composition and operation solution,introduces the generation of adaptive genetic algorithm and its research status,and the application in the optimization design of sewage pipe network.3.This paper discusses in detail the adaptive genetic algorithm of improved new sewage pipe network optimization design is used,through the introduction of the concept of similarity coefficient,logistic curve equation as the foundation,constructs the new regulation formula of crossover probability and mutation probability.The diameter of commercially available discrete characteristics,using natural numberencoding method that diameter specifications of each pipe section,using MATLAB program,the algorithm is optimized,in order to expand the feasible solution space,using the hydraulic calculation program to calculate the parameter selection of water pipe diameter,to prevent the algorithm selection does not satisfy the constraint of hydraulic diameter and eliminated.Based on the QD of a small sewage pipe instance the optimization analysis,and compared with the traditional genetic algorithm and adaptive genetic algorithm to optimize the results is verified by using the adaptive algorithm and the drainage pipe network optimization design with feasible improvement Sex and superiority.4.in the optimization design of combined sewer pipe network transformation project "old city JZ city large-scale sewage pipe network as the research object,to optimize the design of the use of the new adaptive genetic algorithm is improved,and compared with the basic genetic algorithm,the two algorithms in the same cost function,constraint condition and pipe design flow condition under the sewage pipeline hydraulic parameters adaptive genetic algorithm used in this paper is better than the basic genetic algorithm that results in total cost savings of 7.8%.5.in order to simulate the network optimization scheme of practical operation in the city of JZ,the pioneering application of SWMM software for hydraulic simulation of new sewage pipe network,sewage flow will one day change into the implementation of no precipitation,pressure flow,as far as possible to simulate the pipeline hydraulic day operation.Through the simulation,to meet the design the scheme of water conveyance capacity,the hydraulic parameters V also satisfies the constraints.