A novel immune clonal selection optimization algorithm
Nature immune system is an excellent intelligent system. Inspired by the two immune response mechanisms of nature immune system, a new design of an artificial immune system has been proposed. The approach adopts a cluster mechanism in order to divide the population into subpopulations for the stage of selection and reproduction. In the immune clonal selection process, a hybrid hypermutation operator is introduced to improve the variety of antibodies and affinity maturation, thus it can quickly obtain the global and local optima. Extensive experimental results illustrate that the proposed algorithm is efficiency for complicated function optimization, remarkable quality of the global and local convergence reliability.
clonal selection cluster and competition antibody supplement optimization
Sichun Wang Xuesong Xu
College of Information Hunan University of Commerce Institute of Management Engineering Hunan University of Commerce Changsha, China
国际会议
太原
英文
391-395
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）