Multi-Population Kidney-Inspired Algorithm With Migration Policy Selections for Feature Selection Problems

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:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Exploration and exploitation
kidney-inspired algorithm
multi-population
migration policy
feature selection
Online Access:https://ieeexplore.ieee.org/document/10829932/
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https://ieeexplore.ieee.org/document/10829932/

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