The paper describes two advanced PMBGAs: the Bayesian optimization algorithm (BOA), and the hierarchical BOA (hBOA). The paper argues that BOA and hBOA can solve an important class of nearly ...

In response to this issue, this study improved the dragonfly swarm optimization algorithm and solved the problem of variable type conflicts through binary discretization, applying it to the Bayesian ...

BayesianOptimization Implementing a Bayesian Optimization Algorithm In MATLAB This project explores Bayesian Optimization as an alternative to traditional gradient-based and gradient-free methods for ...

This repository contains a flowchart and associated scripts for the optimization of GaN HEMTs (Gallium Nitride High Electron Mobility Transistors) using Bayesian algorithms and Gaussian Process ...

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 ...

Bayesian-optimization algorithms have proved exceptionally effective in other applications, but the authors are among the first to develop a reaction-optimization toolkit that uses this approach.