A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection
Joint Authors
Chu, Xianghua
Li, Shuxiang
Gao, Da
Cui, Jianshuang
Huang, Linya
Zhao, Wei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper aims to propose an improved learning algorithm for feature selection, termed as binary superior tracking artificial bee colony with dynamic Cauchy mutation (BSTABC-DCM).
To enhance exploitation capacity, a binary learning strategy is proposed to enable each bee to learn from the superior individuals in each dimension.
A dynamic Cauchy mutation is introduced to diversify the population distribution.
Ten datasets from UCI repository are adopted as test problems, and the average results of cross-validation of BSTABC-DCM are compared with other seven popular swarm intelligence metaheuristics.
Experimental results demonstrate that BSTABC-DCM could obtain the optimal classification accuracy and select the best representative features for the UCI problems.
American Psychological Association (APA)
Chu, Xianghua& Li, Shuxiang& Gao, Da& Zhao, Wei& Cui, Jianshuang& Huang, Linya. 2020. A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1144987
Modern Language Association (MLA)
Chu, Xianghua…[et al.]. A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1144987
American Medical Association (AMA)
Chu, Xianghua& Li, Shuxiang& Gao, Da& Zhao, Wei& Cui, Jianshuang& Huang, Linya. A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1144987
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144987