A Review of Artificial Immune Systems

Artificial Immune Systems (AIS) are class of computational intelligent methods developed based on the principles and processes of the biological immune system. AIS methods are categorized mainly into four types according to the inspired principles and processes of immune system. These categories are clonal selection, negative selection, immune network and danger theory. This paper reviews the models of AIS and the progress of them. The fundamental characteristics of AIS models are identified and some major studies of each model are given. In addition to that, some application areas of AIS models are explained.

• Publication year

  2018

• Venue

  International Joint Conference on Computational Intelligence

• Publication date

  2018-07-31

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5220/0004553101280135
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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