Artificial Immune System is applied as a Heuristic Algorithm for decades. Nevertheless, many of these applications took advantage of the benefit of this algorithm but seldom proposed approaches for enhancing the efficiency. In this paper, a Self-evolving Artificial Immune System is proposed via developing the T and B cell in Immune System and built a self-evolving mechanism for the complexities...

Many heuristic optimization techniques derived from evolutionary algorithms are stochastic search methods that mimic the natural biological evolution and/or social behavior of spices. Such algorithms have been developed to obtain near optimal solutions to large scale optimization problems, where in traditional methods may fail. With the development of computational intelligence in recent years,...

In this paper an improved Clonal Selection Algorithm (CSA) is proposed as a method to implement optimality based Iterative Learning Control algorithms. The strength of the proposed method is that it not only can cope with non-minimum phase plants and nonlinear plants but also can deal with constraints on input conveniently by a specially designed mutation operator. In addiction, because more pr...

A wrapper feature selection method based on Immune Clonal Algorithm for SVM is presented and applied to 1-D images recognition of radar targets in this paper. In the proposed method, the cross-validation is used for feature evaluation in wrapper feature selection step for SVMs. And Immune Clonal Algorithm, which is characterized by rapid convergence to global optimal solution, is applied to fin...