Hybridizing remora and aquila optimizer with dynamic oppositional learning for structural engineering design problems

To solve global optimization problems, the Aquila Optimizer (AO) algorithm was created recently and is based on the hunting habits of Aquila birds. The Remora Optimization Algorithm (ROA) is combined with a novel Aquila optimizer in this study to create a hybrid version that generates new local solu...

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Veröffentlicht in:	Journal of computational and applied mathematics Jg. 462; S. 116475
Hauptverfasser:	Varshney, Megha, Kumar, Pravesh, Abualigah, Laith
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2025
Schlagworte:	Aquila optimizer Dynamic oppositional learning Engineering Optimization Problems Optimization Remora optimization algorithm Aquila optimizer Remora optimization algorithm Dynamic oppositional learning Engineering Optimization Problems Optimization
ISSN:	0377-0427
Online-Zugang:	Volltext
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