Immunity-based systems: a survey

Author

Dasgupta, Dipankar ; Attoh-Okine, Nii

Author_Institution

Dept. of Math. Sci., Univ. of Memphis, TN, USA

Volume

1

fYear

1997

fDate

12-15 Oct 1997

Firstpage

369

Abstract

Biological systems such as human beings can be regarded as sophisticated information processing systems, and can be expected to provide inspiration for various ideas to science and engineering. Biologically-motivated information processing systems can be classified into: brain-nervous systems (neural networks), genetic systems (evolutionary algorithms), and immune systems (artificial immune systems). Among these, nervous systems and genetic systems have been widely applied to various fields. There have been a relative few applications of the immune system. This paper presents a survey of artificial immune systems and provides numerous insights of immunity-based systems applications in science and engineering

Keywords

biocybernetics; physiological models; reviews; artificial immune systems; biologically-motivated information processing systems; immunity-based systems; Artificial immune systems; Artificial neural networks; Biological neural networks; Biological systems; Evolutionary computation; Genetics; Humans; Immune system; Information processing; Nervous system;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.625778

Filename

625778