Artificial Immune Systems

Ke-Lin Du () and M. N. S. Swamy ()
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Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 10 in Search and Optimization by Metaheuristics, 2016, pp 175-189 from Springer

Abstract: Abstract EAs and PSO tend to converge to a single optimum and hence progressively lose diversity. This is not the case for artificial immune systems (AISs). AISs are based on four main immunological theories, namely, clonal selection, immune networks, negative selection, and danger theory. This chapter introduces four immune algorithms inspired by the four immunological theories.

Keywords: Intrusion Detection; Danger Signal; Clonal Selection; Artificial Immune System; Decision Space (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-41192-7_10

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DOI: 10.1007/978-3-319-41192-7_10

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