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dc.contributor.author Garrett, Simon
dc.date.accessioned 2008-12-18T11:38:54Z
dc.date.available 2008-12-18T11:38:54Z
dc.date.issued 2008-12-18
dc.identifier.citation Garrett , S 2008 , ' How do we evaluate Artificial Immune Systems? ' Evolutionary Computation , pp. 145-178 . en
dc.identifier.other PURE: 105585
dc.identifier.other dspace: 2160/1781
dc.identifier.uri http://hdl.handle.net/2160/1781
dc.identifier.uri http://www.mitpressjournals.org/toc/evco/13/2 en
dc.description Garrett, S., How do we evaluate Artificial Immune Systems?, Evolutionary Computation, 13(2) pp.145-178 en
dc.description.abstract The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then attempts to make an assessment of its usefulness, defined in terms of ¿distinctiveness¿ and ¿effectiveness.¿ In this paper, the standard types of AIS are examined¿Negative Selection, Clonal Selection and Immune Networks¿as well as a new breed of AIS, based on the immunological ¿danger theory.¿ The paper concludes that all types of AIS largely satisfy the criteria outlined for being useful, but only two types of AIS satisfy both criteria with any certainty. en
dc.format.extent 34 en
dc.language.iso eng
dc.relation.ispartof Evolutionary Computation en
dc.title How do we evaluate Artificial Immune Systems? en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


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