MSAO-EDA: A Modified Snow Ablation Optimizer by Hybridizing with Estimation of Distribution Algorithm

Metaheuristic algorithms provide reliable and effective methods for solving challenging optimization problems. The snow ablation algorithm (SAO) performs favorably as a physics-based metaheuristic algorithm. Nevertheless, SAO has some shortcomings. SAO is overpowered in its exploitation, has difficu...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Wuke Li, Xiaoxiao Chen, Hector Chimeremeze Okere
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-10-01
Σειρά:	Biomimetics
Θέματα:	snow ablation optimizer hybridization collaborative search framework global optimization CEC 2017 test suite CEC 2022 test suite
Διαθέσιμο Online:	https://www.mdpi.com/2313-7673/9/10/603
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