Optimization Of Design Parameters Of Drainage Network In Small Towns Based On Improved Adaptive Genetic Algorithm

The healthy and efficient drainage pipe network system in small towns is an important municipal infrastructure to promote the process of urbanization and improve the quality of life of residents.The construction of drainage pipe network in small towns is often restricted by the project cost and the use of funds.In this paper,the improved adaptive genetic algorithmis applied to optimize the pipeline parameters of drainage network in small towns under the given spatial layout,aiming to find the optimal combination of design parameters to achieve the minimum investment cost of drainage network engineering.The specific work is as follows:1.The hydraulic and structural model of drainage network is analyzed in detail,which provides a theoretical basis for the application of genetic algorithm.2.In view of the problem that the superior individuals propagate too fast and converge to the local optimum in the early stage of evolution in the traditional adaptive genetic algorithm,this paper proposes an improved adaptive genetic algorithm(IAGA),and adjusts the adaptive crossover and mutation probability formula,so as to ensure the diversity of the population in the evolution process,and at the same time,it is beneficial to retain the excellent genes in the population in the evolution process.3.Constructing the objective function and fitness function for the operation of the algorithm,and the graphic information and hydraulic parameters of the drainage network are quantified by using matrix transformation and binary coding.The optimal hydraulic parameters under the feasible pipe diameter are obtained through hydraulic calculation module verification.Through the optimization of the same drainage network case,the improved adaptive genetic algorithm is compared with the traditional adaptive genetic algorithm.The results show that IAGA has higher optimization efficiency and better stability.It further verifies the feasibility and superiority of IAGA for the optimization of the design parameters.4.Presenting the design of "Suqiantuyuan Township drainage pipe network project".Using SPSS software to fit the local pipeline cost function,and IAGA to optimize the design.Compared with the original design,the total investment cost is reduced by 16.67%,and the maximum buried depth is also reduced by 2.13 m,which further verifies the practical value of the improved adaptive genetic algorithm.