Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier

Watkins, A. and Timmis, Jon (2004) Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier. In: Third International Conference on Artificial Immune Systems, SEP 13-16, 2004, Catania, Italy. (Full text available)

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The mammalian immune system is a highly complex, inherently parallel, distributed system. The field of Artificial Immune Systems (AIS) has developed a wide variety of algorithms inspired by the immune system, few of which appear to capitalize on the parallel nature of the system from which inspiration was taken. The work in this paper presents the first steps at realizing a parallel artificial immune system for classification. A simple parallel version of the classification algorithm Artificial Immune Recognition System (AIRS) is presented. Initial results indicate that a decrease in overall runtime can be achieved through fairly naive techniques. The need for more theoretical models of the behaviour of the algorithm is discussed.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: artificial immune systems
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 18 Jan 2017 10:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14101 (The current URI for this page, for reference purposes)
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