A classification method based on Immune Genetic Algorithm

We propose a classification method based on Immune Genetic Algorithm, according to the basic theories and the flow of Immune Genetic Algorithm, and investigate classification analysis of data mining. We research into this algorithm´s main principle, basic theory, process, coding strategy, generation and update method of rules set, calculation method of rule density and fitness, restraint and promotion of rules, crossover and mutation operator, and their effect on classification result. The experimental results indicate that our method has high classification accuracy and strong robustness.