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| 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 |
| Publication 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. |
| Sponsorship: | This article is 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: | School of Engineering and Design Research papers
Brunel OA Publishing Fund
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