A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems

Whale Optimization Algorithm (WOA) is an outstanding nature-inspired algorithm widely used to solve many complex engineering optimization problems. However, WOA has a poor balance in exploration and exploitation, which converges to local optimum easily. This article proposes a Modified Whale Optimiz...

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Veröffentlicht in:	Neural computing & applications Jg. 37; H. 27; S. 22339 - 22352
Hauptverfasser:	Li, Mingyuan, Yu, Xiaobing, Fu, Bingbing, Wang, Xuming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.09.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Exploitation Foraging behavior Global optimization Heuristic Image Processing and Computer Vision Mutation Optimization algorithms Probability and Statistics in Computer Science S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Special Issue on Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Whales & whaling Elite reverse learning strategy Whale optimization algorithm Nonlinear convergence factor Multi-strategy
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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