Surrogate modeling and optimization for scientific machine learning (SciML)
Surrogate Optimization Toolbox for Python
NOMAD - A blackbox optimization software
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Python library for parallel multiobjective simulation optimization
Heuristic global optimization algorithms in Python
🎯 📈 Sequential and Model-Based Optimization in Python, feat. SCE-UA, SMBO & SHGO. SOTA perf; 0 deps
This is the official repository of the AI for TSP competition at IJCAI 2021
Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
MITIM (MIT Integrated Modeling) Suite for Fusion Applications
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。
A toolbox for the calibration and evaluation of simulation models.
🏍️ - JAX-based framework to model biological systems
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.
Python platform for parallel Surrogate-Based Optimization
MVRSM algorithm for optimising mixed-variable expensive cost functions.
DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
Multiobjective Adaptive Surrogate Modeling-based Optimization Toolbox I
Surrogate model library for Derivative-Free Optimization
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