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Artificial Immune System: State of the Art Approach

by Prashant Kamal Mishra, Mamta Bhusry
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 20
Year of Publication: 2015
Authors: Prashant Kamal Mishra, Mamta Bhusry
10.5120/21344-4357

Prashant Kamal Mishra, Mamta Bhusry . Artificial Immune System: State of the Art Approach. International Journal of Computer Applications. 120, 20 ( June 2015), 25-32. DOI=10.5120/21344-4357

@article{ 10.5120/21344-4357,
author = { Prashant Kamal Mishra, Mamta Bhusry },
title = { Artificial Immune System: State of the Art Approach },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 20 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number20/21344-4357/ },
doi = { 10.5120/21344-4357 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:44.398884+05:30
%A Prashant Kamal Mishra
%A Mamta Bhusry
%T Artificial Immune System: State of the Art Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 20
%P 25-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The inspiration of framing the artificially developed immune system (AIS) is done through the biological immune system which compromise of signified information processing and self-adapting system. Since it originated in the 1990s, the branch of AIS gets a significant success in the field of Computational Intelligence. Present paper insights major works in the area of AIS and explore current advancements in applied system since past years. It has been observed that the particular research focused on three major considerable algorithms of AIS: (1) clonal selection algorithms (2) negative selection algorithm (3) artificial immune networks. However, computer scientists and engineers are motivated by the biological immune system to evolve new models and problem solving approaches. Developed AIS applications in extensive amount have received a lot of researcher's attention who were planning to establish models based on immune system and techniques in order to provide solutions for complicated problems of engineering. This paper presents a survey of current models of AIS and its algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial immune systems clonal selection negative selection immune networks.

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