Study on the Application of Immune Evolutionary Algorithm

The immune evolutionary algorithm (IEA) is a new type of soft algorithm, it is based on the theory of biological immune system and evolved on the basis of evolutionary algorithm. This paper first introduces the theoretical basis of immune evolutionary algorithm, and obtains the general expression of immune evolutionary algorithm. On this basis, the application of immune evolutionary algorithm has been studied and applied to rural water pollution control. According to the convergence characteristics of the algorithm, the following conclusions are obtained: In the farmers participating model for water pollution control, the supervisory department needs to implement the reward and punishment system for the farmers' behavior. The behavior conducive to water environmental protection needs to be encouraged by the government, and the behavior of polluting the water environment needs to be punished. In this way, the correct behavior of the farmers can be inherited between generations effectively, and finally the problem of rural water pollution will be resolved in a limited time.