Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems

Optimization algorithms often encounter challenges in effectively managing the trade-off between exploration and exploitation, usually leading to less-than-optimal outcomes. This study introduces two novel migration policies in multi-population version of kidney-inspired algorithm (KA) to address th...

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Bibliographic Details

Main Authors:	Najmeh Sadat Jaddi, Salwani Abdullah, Say leng goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian
Format:	Article
Language:	en
Published:	Researchgate 2025
Subjects:	QA1-939 Mathematics QA75.5-76.95 Electronic computers. Computer science
Online Access:	https://eprints.ums.edu.my/id/eprint/43874/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/43874/ http://dx.doi.org/10.1109/ACCESS.2025.3526640
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