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Artificial immune systems

Aickelin, Uwe; Dasgupta, Dipankar; Gu, Feng

Authors

Uwe Aickelin

Dipankar Dasgupta

Feng Gu



Contributors

Edmund Burke
Editor

Graham Kendall
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.

Book Type Book Chapter
Publication Date Jan 1, 2014
Peer Reviewed Peer Reviewed
Book Title Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd edition
ISBN 9781461469391
APA6 Citation Aickelin, U., Dasgupta, D., & Gu, F. (2014). Artificial immune systems. In G. Kendall, & E. Burke (Eds.), Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd editionSpringer. doi:10.1007/978-1-4614-6940-7_7
DOI https://doi.org/10.1007/978-1-4614-6940-7_7
Keywords Artificial, Immune, Systems
Publisher URL http://link.springer.com/chapter/10.1007/978-1-4614-6940-7_7
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
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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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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