A Novel Adaptive Superb Fairy-Wren (Malurus cyaneus) Optimization Algorithm for Solving Numerical Optimization Problems

Superb Fairy-wren Optimization Algorithm (SFOA) is an animal-based meta-heuristic algorithm derived from Fairy-wren’s behavior of growing, feeding, and avoiding natural enemies. The SFOA has some shortcomings when facing complex environments. Its switching mechanism is not enough to adapt to complex...

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Veröffentlicht in:	Biomimetics (Basel, Switzerland) Jg. 10; H. 8; S. 496
Hauptverfasser:	Yuan, Tianzuo, Zhang, Huanzun, Jin, Jie, Chen, Zhebo, Cai, Shanshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 27.07.2025 MDPI
Schlagworte:	adaptive switching framework Algorithms Birds Convergence covariance matrix Feature selection Feeding behavior Heuristic Mathematical optimization Natural enemies numerical optimization Optimization algorithms Social behavior superb fairy-wren optimization algorithm Teaching adaptive switching framework superb fairy-wren optimization algorithm numerical optimization covariance matrix
ISSN:	2313-7673, 2313-7673
Online-Zugang:	Volltext
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