Immune System and Artificial Immune System Application

Abstract

In this paper natural immune system and artificial immune system are described. Natural immune system is an example of evolutionary learning mechanism which possesses a content addressable memory and the ability to forget little-used information, it is highly complicated and appears to be precisely turned to the problem of detecting and eliminating infection. A novel information processing system inspired by immune system of human and other animals, the artificial immune system is introduced in this paper, AIS is a computational system designed on the principles of natural immune system, which is highly distributed, adaptive and diverse system. AIS research, being interdisciplinary, demands significant knowledge of immunology and computational science. Due to the different in the nature of two fields, researchers in either field face difficulties in having mutual understanding and effectively contributing for AIS research. The paper reviews the mechanism of immune system, the basis of artificial immune system, its development history, content of research and Immune Engineering which is applied in processing control. And a major method of AIS is described, so that it explains to how to set up artificial immune network and system models. The AIS is an example of a system developed around the current understanding of the immune system. It has proved artificial immune system can capture the basic elements of the immune system and exhibit some of its chief characteristics. Through this paper, we know it is more suitable than simulated annealing and genetic algorithms for solving problem. At last, the disadvantage of AIS and the development tendency are discussed.