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.

This repository contains the simulation code to reproduce the tables and figures presented in. J. O. Lübsen, M. Schütte, S. Schulz, A. Eichler, "A Safe Bayesian Optimization Algorithm for Tuning the ...

Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning. Although it has great potential and application prospects, when there are ...

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 ...

MultiBgolearn is a Python package designed for multi-objective Bayesian global optimization (MOBO), specifically tailored for materials design. It extends the functionalities of the Bgolearn package, ...