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A self-adaptive Harris Hawks optimization algorithm with opposition-based learning and chaotic local search strategy for global optimization and feature selection

Crossref DOI link: https://doi.org/10.1007/s13042-021-01326-4

Published Online: 2021-04-16

Published Print: 2022-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hussien, Abdelazim G. https://orcid.org/0000-0001-5394-0678
Amin, Mohamed
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Text and Data Mining valid from 2021-04-16

Version of Record valid from 2021-04-16
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Article History

Received: 23 February 2020

Accepted: 2 April 2021

First Online: 16 April 2021

Declarations

:

: The authors declare that they have no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Informed consent was obtained from all individual participants included in the study.

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