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

Complexity

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

Philosophy

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