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This repository provides a framework for optimizing GaN HEMTs using Bayesian algorithms and GPR models. It uses Latin Hypercube Sampling (LHS) for initial data generation, trains a GPR model for ...
Implementing a Bayesian Optimization Algorithm In MATLAB. This project explores Bayesian Optimization as an alternative to traditional gradient-based and gradient-free methods for finding the global ...
Advances in evolutionary computation have demonstrated that Evolutionary Algorithms (EAs) proposed in this area are a solid alternative for solving combinatorial and continuous optimization problems.
Significant strides have been made in supervised learning settings thanks to the successful application of deep learning. Now, recent work has brought the techniques of deep learning to bear on ...