General-purpose library for fitting models to data with correlated Gaussian-distributed noise

NKCS model for exploring aspects of (surrogate-assisted) coevolution.

MITIM (MIT Integrated Modeling) Suite for Fusion Applications

NOMAD - A blackbox optimization software

A python package for parameter uncertainty quantification and optimization

BOSS (Bayesian Optimization with Semiparametric Surrogate)

Surrogate modeling and optimization for scientific machine learning (SciML)

This repository contains code and data for optimizing punch and die design to minimize punched deviations in PCB registraion.

Python library for parallel multiobjective simulation optimization

ANN based Surrogate model optimization of airfoil using XFOIL

MVRSM algorithm for optimising mixed-variable expensive cost functions.

A transformative approach to manufacturing optimization, focusing on the textile forming process. This research synergizes domain-specific knowledge with simulation modeling and introduces Bayesian optimization for efficient parameter space exploration.

Statistical learning models library for blackbox optimization

surF - a surrogate modeling method based on Discrete Fourier Transform

Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions

This repository contains the packages that build the problem objects for the desdeo framework.

Source files of experiment resutls for the manusctipt that submitted to ESWA.

SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).

Python platform for parallel Surrogate-Based Optimization

A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model