There are 3 repositories under surrogate-based-optimization topic.
Surrogate modeling and optimization for scientific machine learning (SciML)
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Heuristic global optimization algorithms in Python
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.
MITIM (MIT Integrated Modeling) Suite for Fusion Applications
A toolbox for the calibration and evaluation of simulation models.
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
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
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
A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.
A short course on simulation-based infernce for physics at YSDA in April 2021
Benchmark suite for active optimisation in scientific discovery, featuring standardised tasks in materials science and biology
Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.
ANN based Surrogate model optimization of airfoil using XFOIL
Revised MO-ASMO Algorithm
IDDEFIX is a physics-informed evolutionary optimization framework that fits a resonator-based model (parameterized by R, f, Q) to wakefield simulation data.
Implementation of the perceptron algorithm on MATLAB for classification
:herb: Introduce surrogate based-optimization beside evolutionary algorithms that can significantly influence on the effort being spent for multi-objective parameter tuning
Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.
Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy
A Surrogate-Assisted Evolutionary Algorithm with Hypervolume Triggered Fidelity Adjustment for Noisy Multiobjective Integer Programming