Modified Clonal Selection Algorithm Based Classifiers

Singh, Y. P. and Babiker, A. S. H. (2011) Modified Clonal Selection Algorithm Based Classifiers. In: 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA). (BIC-TA), pp. 108-113. ISBN 978-1-4577-1092-6

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Abstract

The biological immune system is an adaptive, complex and robust system that helps the body defend from foreign pathogens. Clonal Selection algorithm (CLONALG) is one of the many algorithms that have been inspired by the adaptive biological immunity of human being and animals. CLONALG has been applied in data mining, pattern recognition and optimization problems. The present paper presents a modified CLONALG based classifier algorithms. CLONALG has many steps and one of these steps is initializing the antibodies pool. The present paper has proposed a new approach to initialize the antibodies pool for classifier design and provides some tests and experiments to show the effectiveness of CLONALG classifier performance with randomized and antigen initializations.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 01 Nov 2013 08:11
Last Modified: 01 Nov 2013 08:11
URI: http://shdl.mmu.edu.my/id/eprint/4344

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