Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design

Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design

This paper explains the construction of a novel augmented hunger games search algorithm using a logarithmic spiral opposition-based learning technique. The proposed algorithm (LsOBL-HGS) is used as an efficient tool for both function optimization and controller design. To assess the performance of t...

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Bibliographic Details
Main Authors: Davut Izci, Serdar Ekinci, Erdal Eker, Murat Kayri
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Journal of King Saud University: Engineering Sciences
Subjects:
Magnetic ball suspension system
FOPID controller
Hunger games search algorithm
Logarithmic spiral
Opposition-based learning technique
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363922000186

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http://www.sciencedirect.com/science/article/pii/S1018363922000186

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