RG-NBEO: a ReliefF guided novel binary equilibrium optimizer with opposition-based S-shaped and V-shaped transfer functions for feature selection-Reference-Cited by-同舟云学术

RG-NBEO: a ReliefF guided novel binary equilibrium optimizer with opposition-based S-shaped and V-shaped transfer functions for feature selection

Published:2022-11-28 Issue: Volume: Page:
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Zhang Min,Wang Jie-Sheng^ORCID,Hou Jia-Ning,Song Hao-Ming,Li Xu-Dong,Guo Fu-Jun

Funder

Basic Scientific Research Project of Institution of Higher Learning of Liaoning Province

Project by Liaoning Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-022-10333-y.pdf

Reference74 articles.

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3. Abualigah L, Diabat A (2022) Chaotic binary group search optimizer for feature selection. Expert Syst Appl 192:116368

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5. Abualigah L, Alsalibi B, Shehab M et al (2021) A parallel hybrid krill herd algorithm for feature selection. Int J Mach Learn Cybern 12(3):783–806

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