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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Wuke Li, Xiaoxiao Chen, Hector Chimeremeze Okere
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-10-01
Sarja:	Biomimetics
Aiheet:	snow ablation optimizer hybridization collaborative search framework global optimization CEC 2017 test suite CEC 2022 test suite
Linkit:	https://www.mdpi.com/2313-7673/9/10/603
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