Python library for parallel multiobjective simulation optimization

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

This is the official repository of the AI for TSP competition at IJCAI 2021

🎯 📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—SOTA perfomance.

A toolbox for the calibration and evaluation of simulation models.

MITIM (MIT Integrated Modeling) Suite for Fusion Applications

🏍️ - JAX-based framework to model biological systems

UQPyL is a python package for uncertainty quantification and parameter optimization. 参数不确定性分析及优化工具包。

Python platform for parallel Surrogate-Based Optimization

MVRSM algorithm for optimising mixed-variable expensive cost functions.

A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.

Benchmark suite for active optimisation in scientific discovery, featuring standardised tasks in materials science and biology

Surrogate-based 0-th Order Global Optimization for black-box problems.

surF - a surrogate modeling method based on Discrete Fourier Transform

IDDEFIX is a physics-informed evolutionary optimization framework that fits a resonator-based model (parameterized by R, f, Q) to wakefield simulation data.

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

Python package for design of experiments

Surrogate adaptive randomized search for hyper-parameters tuning in sklearn.

A Surrogate-Assisted Evolutionary Algorithm with Hypervolume Triggered Fidelity Adjustment for Noisy Multiobjective Integer Programming

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