Please use this identifier to cite or link to this item:
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.
ISSN: 2076-734X
Appears in Collections:Brunel OA Publishing Fund
Dept of Electronic and Computer Engineering Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf455.54 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.