Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study.

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Title: Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study.
Authors: Eraslan, Yüksel1 (AUTHOR) yukseleraslan@tarsus.edu.tr, Şengün, Esmanur2 (AUTHOR)
Source: Biomimetics (2313-7673). Mar2026, Vol. 11 Issue 3, p204. 26p.
Database: Academic Search Ultimate
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ISSN:23137673
DOI:10.3390/biomimetics11030204