This paper introduces a data-driven meta-modelling framework designed to optimize challenging antenna designs, addressing the limitations of traditional gradient-based – and global search methods. The framework utilizes Bayesian Optimization (BO) and High-Order Gaussian Processes (HOGPs) to approximate black-box functions, substantially…
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