A Proposal of Generating Method of Clustering Based Immunological Memory Cell in Clonal Selection Algorithm

Abstract

The clonal selection principle explains the basic features of an adaptive immune response to a antigenic stimulus, according to the idea that only those cells that recognize the antigens are selected to proliferate and differentiate. This paper explains a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response. Especially, the immunological memory cells are generated to record the specific antibodies by using clustering results.