A simple artificial immune system (SAIS) for generating classifier systems

Cheong, F and Leung Kan Hing, K 2006, 'A simple artificial immune system (SAIS) for generating classifier systems' in A1 2006: Advances in Artifical Intelligence, Springer-Verlag, Berlin, Germany, pp. 151-160.

Document type: Book Chapter
Collection: Book Chapters

Title A simple artificial immune system (SAIS) for generating classifier systems
Author(s) Cheong, F
Leung Kan Hing, K
Year 2006
Title of book A1 2006: Advances in Artifical Intelligence
Publisher Springer-Verlag
Place of publication Berlin, Germany
Start page 151
End page 160
Subjects Information Systems Development Methodologies
Summary Current artificial immune system (AIS) classifiers have two major problems: (1) their populations of B-cells can grow to huge proportions and (2) optimizing one B-cell (part of the classifier) at a time does not necessarily guarantee that the B-cell pool (the whole classifier) will be optimized. In this paper, we describe the design of a new AIS algorithm and classifier system called simple AIS (SAIS). It is different from traditional AIS classifiers in that it takes only one B-cell, instead of a B-cell pool, to represent the classifier. This approach ensures global optimization of the whole system and in addition no population control mechanism is needed. We have tested our classifier on four benchmark datasets using different classification techniques and found it to be very competitive when compared to other classifiers.
Copyright notice © Springer-Verlag Berlin Heidelberg 2006
Keyword(s) artificial immune systems
instance-based learning
ISBN 9783540497875
Version Filter Type
Access Statistics: 276 Abstract Views  -  Detailed Statistics
Created: Fri, 26 Feb 2010, 20:25:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us