A Review of Artificial Immune Systems

Zafer Ataser

2013

Abstract

Artificial Immune Systems (AIS) are class of computational intelligent methods developed based on the principles and processes of the biological immune system. AIS methods are categorized mainly into four types according to the inspired principles and processes of immune system. These categories are clonal selection, negative selection, immune network and danger theory. This paper reviews the models of AIS and the progress of them. The fundamental characteristics of AIS models are identified and some major studies of each model are given. In addition to that, some application areas of AIS models are explained.

Paper Citation

in Harvard Style

Ataser Z. (2013). A Review of Artificial Immune Systems . In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013) ISBN 978-989-8565-77-8, pages 128-135. DOI: 10.5220/0004553101280135

in Bibtex Style

@conference{ecta13,
author={Zafer Ataser},
title={A Review of Artificial Immune Systems},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)},
year={2013},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004553101280135},
isbn={978-989-8565-77-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)
TI - A Review of Artificial Immune Systems
SN - 978-989-8565-77-8
AU - Ataser Z.
PY - 2013
SP - 128
EP - 135
DO - 10.5220/0004553101280135