A clonal selection algorithm (CLONALG) inspires from clonal selection principle used to explain the basic features of an adaptive immune response to an antigenic stimulus. It takes place in various scientific applicat...
详细信息
A clonal selection algorithm (CLONALG) inspires from clonal selection principle used to explain the basic features of an adaptive immune response to an antigenic stimulus. It takes place in various scientific applications and it can be also used to determine the membershipfunctions in a fuzzy system. The aim of the study is to adjust the shape of membershipfunctions and a novice aspect of the study is to determine the membershipfunctions. Proposed method has been implemented using a developed CLONALG program for a multipleinput-output (MI-O) fuzzy system. In this study. GA and binary particle swarm optimization (BPSO) are used for implementing the proposed method as well and they are compared. It has been shown that using clonal selection algorithm is advantageous for finding optimum values of fuzzymembershipfunctions (C) 2010 Elsevier Ltd. All rights reserved.
暂无评论