Immune optimization is a very impor

Immune optimization is a very important research branch of artificial immune system, which is highly concerned in the fields of artificial intelligence, information science, automatic control, biological science, etc.; compared with the classical intelligent optimization algorithm, it has the advantages of rich diversity, fast convergence speed, flexible module design, strong adaptive learning ability, etc.; in various types of dynamic or static multi-objective planning In the model, a series of research results have been obtained, and solving the nonlinear multi-objective expected value or probability optimization programming model has some advantages, such as search effect, operation efficiency, noise suppression ability, etc.; it has been proved that it has good application potential in solving the nonlinear stochastic programming model.