Clonal selection algorithm for classification

Sharma, Anuraganand and Sharma, D.P. (2011) Clonal selection algorithm for classification. In: Artificial Immune Systems. Lecture Notes in Computer Science, 6825 . Springer Berlin Heidelberg, Berlin, pp. 361-370. ISBN 978-3-642-22370-9

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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.

Item Type:	Book Chapter
Uncontrolled Keywords:	CLONALG; clonal selection principle; artificial immune system; pattern matching; optimization; classification; evolutionary algorithms; CLONAX
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Others
Depositing User:	Anuraganand Sharma
Date Deposited:	04 Oct 2013 01:47
Last Modified:	07 Oct 2018 22:52
URI:	https://repository.usp.ac.fj/id/eprint/6878

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