Gradient-Boosted Decision Tree Optimizer for Antenna Optimization
TL;DR
This article introduces a gradient-boosted decision tree optimizer for antenna design, addressing scalability issues in neural networks and Gaussian process regression by reducing data needs and training time.
Gradient-Boosted Decision Tree Optimizer for Antenna Optimization
Oğuzhan Engín; Mustafa Gökçe Baydoğan; Ahmet Cemal Durgun
https://doi.org/10.1109/ACCESS.2025.3649195
Volume 14
The use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, their scalability to higher dimensions poses several challenges, such as the requirement for excessive data, extensive hyper-parameter tuning, and longer training times. In contrast, gradient-boosted decision tr...