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
Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
This is the official repository of the AI for TSP competition at IJCAI 2021
Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing
Python platform for parallel Surrogate-Based Optimization
MVRSM algorithm for optimising mixed-variable expensive cost functions.
Multiobjective Adaptive Surrogate Modeling-based Optimization Toolbox I
DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
MITIM (MIT Integrated Modeling) Suite for Fusion Applications
Surrogate model library for Derivative-Free Optimization
A short course on simulation-based infernce for physics at YSDA in April 2021
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
A python package for parameter uncertainty quantification and optimization
Benchmark suite for active learning (with surrogate models) in scientific discovery, featuring standardised tasks in materials science and biology 🧪🤖
Revised MO-ASMO Algorithm
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