Optimal design of rainwater pipe system based on genetic algorithm

genetic algorithms;  storm sewer systems;  Optimize design;  floating-point encoding;  Fitness function

An optimal design model of rainwater pipe system is established, and the genetic algorithm is applied to solve the optimal design scheme with minimal investment in pipe network. In this method, the flow rate of the pipe segment design is taken as the decision-making variable, and the solution of the optimization problem is expressed as chromosomes by floating-point number coding, and the corresponding fitness function, cross operator and variation operator are designed. Compared with the traditional design method, the optimal design scheme obtained by the genetic algorithm can save 19.38% of the investment compared with the original design scheme.The results show that the optimal design of urban rainwater pipe system using GA is a feasible and very effective new method, which can not only find the optimal design scheme, but also provide a variety of optimization design schemes for decision makers, and provide a reliable basis for scheme evaluation and decision-making.