A Robust Bayesian Optimization Framework for Microwave Circuit Design Under Uncertainty
In modern electronics, there are many inevitable uncertainties and variations of design parameters that have a profound effect on the performance of a device. These are, among others, induced by manufacturing tolerances, assembling inaccuracies, material diversities, machining errors, etc. This prompts a wide interests in enhanced optimization algorithms that take the effect of these uncertainty […]