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Improved Artificial Bee Colony Algorithm and its Application in Classification

Wang, Haiquan; Wei, Jianhua; Wen, Shengjun; Yu, Hongnian; Zhang, Xiguang

Authors

Haiquan Wang

Jianhua Wei

Shengjun Wen

Xiguang Zhang



Abstract

For improving the classification accuracy of the classifier, a novel classification methodology based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters selection. In order to balance the ability of exploration and exploitation of traditional ABC algorithm, improvements are introduced for the generation of initial solution set and onlooker bee stage. The proposed algorithm is applied to four datasets with different attribute characteristics from UCI and efficiency of the algorithm is proved from the results.

Journal Article Type Article
Acceptance Date Sep 26, 2018
Online Publication Date Dec 20, 2018
Publication Date Dec 20, 2018
Deposit Date Jun 17, 2022
Publicly Available Date Jun 27, 2023
Journal Journal of Robotics and Mechatronics
Print ISSN 0915-3942
Electronic ISSN 1883-8049
Peer Reviewed Peer Reviewed
Volume 30
Issue 6
Pages 921-926
DOI https://doi.org/10.20965/jrm.2018.p0921
Keywords artificial bee colony algorithm, classifier, SVM, UCI database, wrapper method
Public URL http://researchrepository.napier.ac.uk/Output/2879959

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