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http://bura.brunel.ac.uk/handle/2438/4643
Title: | Artificial Immune Systems - Models, algorithms and applications |
Authors: | Al-Enezi, JR Abbod, MF Alsharhan, S |
Keywords: | Artificial immune systems;Artificial immune networks;Clonal selection;Negative selection |
Issue Date: | 2010 |
Publisher: | Academic Research Publishing Agency |
Citation: | International Journal of Research and Reviews in Applied Sciences (IJRRAS), 3(2): 118-131, May 2010 |
Abstract: | 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. |
Description: | Copyright © 2010 Academic Research Publishing Agency. This article has been made available through the Brunel Open Access Publishing Fund. |
URI: | http://www.arpapress.com/Volumes/Vol3Issue2/IJRRAS_3_2_01.pdf http://bura.brunel.ac.uk/handle/2438/4643 |
ISSN: | 2076-734X |
Appears in Collections: | Brunel OA Publishing Fund Dept of Electronic and Electrical Engineering Research Papers |
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