Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm

Metaheuristics are efficient algorithms designed to address a broad spectrum of optimization challenges and offer satisfactory solutions, even in scenarios of limited processing capability or incomplete information. It has been observed that no single metaheuristic algorithm is universally ideal for...

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Bibliographic Details

Published in:	Journal of Intelligent Systems
Main Authors:	AL-kubaisy Wijdan Jaber, AL-Khateeb Belal
Format:	Article
Language:	English
Published:	De Gruyter 2024-06-01
Subjects:	quokka swarm optimization metaheuristic swarm intelligence evolutionary algorithms particle swarm optimization exploration and exploitation
Online Access:	https://doi.org/10.1515/jisys-2024-0051