Planning For Control System Of Water Pollution Of Fujiang River In Mianyang City

Planning for control system of water pollution, the main content of water environment government, aims at analyzing and coordinating relationship in composition factors of control system of water pollution with idea and method of system engineering in order to gain effective or satisfied water quality with smaller cost and find the best execute program. Therefore, planning of control system of water pollution which is to solve a constrained nonlinear planning issue is a process of seeking the best program which coordinates a multi-variable and multi-level complex system composed of environment, economy and society.Genetic Algorithms (GA) is a random optimization method based on natural selection theory and natural genetic mechanics. Its basic idea to solve optimization issue is to use creature's adaptability to denote the object function and use individual of population to denote solution of issue. Newer population is generated from current population by copying, crossing and variation. This process is duplicated constantly until the best individual which represents the best solution of optimization issue is gained.In theory, GA can gain global optimum solution in a certain condition but always traps in deadlock after gaining local optimum solution, which is called as early mature. This paper applies self-adapting operator and local degeneracy operator to optimization layout of water pollution control system of Fujiang river in Mianyang city against problem mentioned above. The result that improved GA improves early mature phenomenon of standard GA and owns better global searching ability indicated that improved GA is a feasible optimization method of control system of water pollution in theory with profound researching and development value.