Clonal selection algorithm for classification

Anurag Sharma, Dharmendra Sharma

Research output: A Conference proceeding or a Chapter in BookConference contribution

20 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationArtificial Immune Systems
Subtitle of host publication10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings
EditorsPietro Liò, Giuseppe Nicosia, Thomas Stibor
Place of PublicationBerlin, Germany
PublisherSpringer
Pages361-370
Number of pages10
ISBN (Print)9783642223709
DOIs
Publication statusPublished - 2011
Event10th International Conference on Artificial Immune Systems, ICARIS 2011 - Cambridge, United Kingdom
Duration: 18 Jul 201121 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6825 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Artificial Immune Systems, ICARIS 2011
CountryUnited Kingdom
CityCambridge
Period18/07/1121/07/11

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  • Cite this

    Sharma, A., & Sharma, D. (2011). Clonal selection algorithm for classification. In P. Liò, G. Nicosia, & T. Stibor (Eds.), Artificial Immune Systems: 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings (pp. 361-370). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6825 LNCS). Springer. https://doi.org/10.1007/978-3-642-22371-6_31