Artificial Immune Systems

Julie Greensmith (), Amanda Whitbrook () and Uwe Aickelin ()
Additional contact information
Julie Greensmith: University of Nottingham
Amanda Whitbrook: University of Nottingham
Uwe Aickelin: University of Nottingham

Chapter Chapter 14 in Handbook of Metaheuristics, 2010, pp 421-448 from Springer

Abstract: Abstract The human immune system has numerous properties that make it ripe for exploitation in the computational domain, such as robustness and fault tolerance, and many different algorithms, collectively termed Artificial Immune Systems (AIS), have been inspired by it. Two generations of AIS are currently in use, with the first generation relying on simplified immune models and the second generation utilising interdisciplinary collaboration to develop a deeper understanding of the immune system and hence produce more complex models. Both generations of algorithms have been successfully applied to a variety of problems, including anomaly detection, pattern recognition, optimisation and robotics. In this chapter an overview of AIS is presented, its evolution is discussed, and it is shown that the diversification of the field is linked to the diversity of the immune system itself, leading to a number of algorithms as opposed to one archetypal system. Two case studies are also presented to help provide insight into the mechanisms of AIS; these are the idiotypic network approach and the Dendritic Cell Algorithm.

Keywords: Negative Selection; Anomaly Detection; Artificial Immune System; Human Immune System; Immune Network (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-1665-5_14

Ordering information: This item can be ordered from
http://www.springer.com/9781441916655

DOI: 10.1007/978-1-4419-1665-5_14

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().