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Artificial Immune Systems - Models, algorithms and applications

By JR Al-Enezi, MF Abbod and S Alsharhan

Abstract

Copyright © 2010 Academic Research Publishing Agency.This article has been made available through the Brunel Open Access Publishing Fund.Artificial Immune Systems (AIS) are computational paradigms that belong to the computational intelligence family and are inspired by the biological immune system. During the past decade, they have attracted a lot of interest from researchers aiming to develop immune-based models and techniques to solve complex computational or engineering problems. This work presents a survey of existing AIS models and algorithms with a focus on the last five years.This article is available through the Brunel Open Access Publishing Fun

Topics: Artificial immune systems, Artificial immune networks, Clonal selection, Negative selection
Publisher: Academic Research Publishing Agency
Year: 2010
OAI identifier: oai:bura.brunel.ac.uk:2438/4643
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    Citations

    1. (2004). A Robust Immune Based Approach to the Iterated Prisoner’s Dilemma. Lecture doi
    2. The Online Home of Artificial Immune Systems (http://www.artificial-immune-systems.org/algorithms.shtml).

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