The Model and Algorithm of Artificial Immune System for Solving Some Problem

摘要

The present paper is devoted to the creation of a model and algorithm of an artificial immune system (AIS). The proposed model and algorithm are considered for realization of the problems single symbols recognition, symbolic regression, managing autonomous systems (robot). In the description of the proposed artificial immune system model and algorithm research methodology from the natural immune system is preserved. The adopted concept of B-cells are responsible for producing antibodies, a special class of complex proteins on the surface of B-lymphocytes, capable of binding to certain types of molecules (antigens) is used. The full set of antigenic receptors of all B-cells is a plurality of antibodies that can be produced by the organism. The developed program complex allows to solve all three problems: single symbols recognition, symbolic regression, managing autonomous systems (robot).