Towards improved Clonal Selection Algorithm by increasing the diversity degree of antibody

Premature convergence is known as the most important problem in Clonal Selection Algorithm (CSA). In this article, we study this problem and propose a novel algorithm to increase the diversity degree of antibody, which is known as an effective way to improve the performance of CSA. Though it is quite simple, our simulation with Traveling Salesman Problem (TSP) shows that our work is effective to prevent CSA from stopping search too early as in its original version. As compared with three existing works, our work demonstrates obvious gain within the same number of generations, and the actual time cost is ignorable.