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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Biomimetics
المؤلفون الرئيسيون: Wuke Li, Xiaoxiao Chen, Hector Chimeremeze Okere
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2024-10-01
الموضوعات:
snow ablation optimizer
hybridization
collaborative search framework
global optimization
CEC 2017 test suite
CEC 2022 test suite
الوصول للمادة أونلاين:https://www.mdpi.com/2313-7673/9/10/603

الانترنت

https://www.mdpi.com/2313-7673/9/10/603

مواد مشابهة