On performance analyses of Immune Genetic algorithm

The performance analysis of the Immune Genetic algorithm was focused on.. Firstly, the global convergence of the Immune Genetic algorithm was analyzed. Secondary, after a concept of Critical Density was proposed, the essential difference between Immune Genetic Algorithm and Genetic Algorithm was given that only the better schemas which have lower density than the corresponding Critical Density could exponentially increase. Finally, the ability of maintaining the diversity of individuals was analyzed. This work is useful to theoretically explore and explain why such kind of improved Genetic Algorithm can get better performance.