A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems

Abstract The Walrus Optimization (WO) algorithm, as an emerging metaheuristic algorithm, has shown excellent performance in problem-solving, however it still faces issues such as slow convergence and susceptibility to getting trapped in local optima. To this end, the study proposes a novel WO enhanc...

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Bibliografski detalji

Glavni autori:	Yier Li, Lei Li, Zhengpu Lian, Kang Zhou, Yuchen Dai
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-01-01
Serija:	Scientific Reports
Teme:	Walrus optimization Metaheuristic algorithm Chaotic local search Quasi-oppositional based learning
Online pristup:	https://doi.org/10.1038/s41598-025-85751-3
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