A.H Momeni Azandaryani - Soft Computing Laboratory Department of Computer Engineering and Information Technology Amirkabir University of Technology Tehran, Iran
M.R Meybodi - Soft Computing Laboratory Department of Computer Engineering and Information Technology Amirkabir University of Technology Tehran, Iran

In this paper we propose an artificial immune system in which learning automata are used to adaptively determine the values of its parameters. Learning automata are used for altering the shape of receptor portion of antibodies to better complementarily match the confronted antigen. In order to show the effectiveness of the proposed artificial immune computer experiments have been conducted. The result of experimentations confirms the effectiveness of the proposed model