Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
Abstract: A genetic Bayesian (GBay) multiobjective optimization methodology is proposed for robust power amplifier (PA) design, addressing critical challenges in wireless communication systems. The ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
@article{ngo2025moboosd, title={MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions}, author={Ngo, Lam and Ha, Huong and Chan, Jeffrey and Zhang, Hongyu}, ...
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