Clonal selection algorithm for classification

Authors:
Anurag Sharma;Dharmendra Sharma
Affiliations:
Faculty of Information Sciences and Engineering, University of Canberra, ACT, Australia;Faculty of Information Sciences and Engineering, University of Canberra, ACT, Australia
Venue:
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Year:
2011

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Abstract

Clonal selection principle based CLONALG is one of the most popular artificial immune system (AIS) models. It has been proposed to perform pattern matching and optimization task but has not been applied for classification tasks. Some work has been reported that accommodates CLONALG for classification but generally they do not perform well. This paper proposes an approach for classification using CLONALG with competitive results in terms of classification accuracy, compared to other AIS models and evolutionary algorithms tested on the same benchmark data sets. We named our algorithm CLONAX.