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Artificial Immune Systems

Aickelin, Uwe; Dasgupta, Dipankar; Gu, Feng

Authors

Uwe Aickelin

Dipankar Dasgupta

Feng Gu



Contributors

Edmund Burke
Editor

Abstract

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or nonself substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years.

Citation

Aickelin, U., Dasgupta, D., & Gu, F. (2014). Artificial Immune Systems. In E. Burke, & G. Kendall (Eds.), Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd edition (187-211). Springer. https://doi.org/10.1007/978-1-4614-6940-7_7

Online Publication Date Jul 9, 2013
Publication Date 2014
Deposit Date Sep 27, 2014
Publicly Available Date Mar 29, 2024
Peer Reviewed Peer Reviewed
Pages 187-211
Book Title Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd edition
ISBN 9781461469391
DOI https://doi.org/10.1007/978-1-4614-6940-7_7
Keywords Artificial, Immune, Systems
Public URL https://nottingham-repository.worktribe.com/output/997848
Publisher URL http://link.springer.com/chapter/10.1007/978-1-4614-6940-7_7
Additional Information The final publication is available at Springer via http://dx.doi.org/10.1007/978-1-4614-6940-7_7

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