Abstract: Multi-focus image fusion (MFIF) is important for vision systems that require both high efficiency and reliable all-infocus perception, especially in deployment-oriented and ...

Abstract: A genetic Bayesian (GBay) multiobjective optimization methodology is proposed for robust power amplifier (PA) design, addressing critical challenges in wireless communication systems. The ...

CDM-PSL (Composite Diffusion Model-Based Pareto Set Learning) is a novel algorithm designed to address the challenges of expensive multi-objective Bayesian optimization (EMOBO). While MOBO has shown ...