Pied kingfisher optimizer: a new bio-inspired algorithm for solving numerical optimization and industrial engineering problems

In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic relationships observed in pied kingfishers in the natural world. The PKO algorithm is structured around three disti...

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Veröffentlicht in:	Neural computing & applications Jg. 36; H. 25; S. 15455 - 15513
Hauptverfasser:	Bouaouda, Anas, Hashim, Fatma A., Sayouti, Yassine, Hussien, Abdelazim G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.09.2024 Springer Nature B.V
Schlagworte:	Adaptation Algorithms Artificial Intelligence Comparative analysis Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Covariance matrix Data Mining and Knowledge Discovery Effectiveness Evolutionary algorithms Exploitation Genetic algorithms Heuristic methods Hovering Image Processing and Computer Vision Industrial engineering Optimization Original Article Particle swarm optimization Performance evaluation Performance measurement Probability and Statistics in Computer Science Search algorithms Source code Wolves Global optimization Pied kingfisher optimizer Genetic algorithm Evolutionary computation Engineering optimization Swarm intelligence Meta-heuristic Particle swarm optimization
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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