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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Al-Enezi, JR | - |
dc.contributor.author | Abbod, MF | - |
dc.contributor.author | Alsharhan, S | - |
dc.date.accessioned | 2010-12-14T12:04:42Z | - |
dc.date.available | 2010-12-14T12:04:42Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | International Journal of Research and Reviews in Applied Sciences (IJRRAS), 3(2): 118-131, May 2010 | en_US |
dc.identifier.issn | 2076-734X | - |
dc.identifier.uri | http://www.arpapress.com/Volumes/Vol3Issue2/IJRRAS_3_2_01.pdf | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/4643 | - |
dc.description | Copyright © 2010 Academic Research Publishing Agency. | en_US |
dc.description | This article has been made available through the Brunel Open Access Publishing Fund. | - |
dc.description.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. | en_US |
dc.description.sponsorship | This article is available through the Brunel Open Access Publishing Fund | en_US |
dc.language.iso | en | en_US |
dc.publisher | Academic Research Publishing Agency | en_US |
dc.subject | Artificial immune systems | en_US |
dc.subject | Artificial immune networks | en_US |
dc.subject | Clonal selection | en_US |
dc.subject | Negative selection | en_US |
dc.title | Artificial Immune Systems - Models, algorithms and applications | en_US |
dc.type | Research Paper | en_US |
Appears in Collections: | Brunel OA Publishing Fund Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 455.54 kB | Adobe PDF | View/Open |
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