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Artificial Immune Systems

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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.

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Authors and Affiliations

  1. Xonlink Inc, Ningbo, Zhejiang, China

    Ke-Lin Du

  2. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du & M. N. S. Swamy

Authors
  1. Ke-Lin Du
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  2. M. N. S. Swamy
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Correspondence to Ke-Lin Du .

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© 2016 Springer International Publishing Switzerland

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Du, KL., Swamy, M.N.S. (2016). Artificial Immune Systems. In: Search and Optimization by Metaheuristics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-41192-7_10

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