surrogate-based-optimization | Topic

Topic: "surrogate-based-optimization"

SciML/Surrogates.jl

Surrogate modeling and optimization for scientific machine learning (SciML)

Language: Julia - Size: 327 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 357 - Forks: 76

dme65/pySOT

Surrogate Optimization Toolbox for Python

Language: Jupyter Notebook - Size: 8.28 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 212 - Forks: 53

bbopt/nomad

NOMAD - A blackbox optimization software

Language: C++ - Size: 294 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 143 - Forks: 26

Eric-Bradford/TS-EMO

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

Language: MATLAB - Size: 1.83 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 102 - Forks: 13

parmoo/parmoo

Python library for parallel multiobjective simulation optimization

Language: Python - Size: 7.21 MB - Last synced at: 8 days ago - Pushed at: 11 days ago - Stars: 84 - Forks: 12

sharma-n/global_optimization

Heuristic global optimization algorithms in Python

Language: Jupyter Notebook - Size: 22.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 50 - Forks: 13

AlgTUDelft/ExpensiveOptimBenchmark

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

Language: Python - Size: 12.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 25 - Forks: 5

sambo-optimization/sambo

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

Language: Python - Size: 144 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 24 - Forks: 0

paulorocosta/ai-for-tsp-competition

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

Language: Python - Size: 32.9 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 8

pabloprf/MITIM-fusion

MITIM (MIT Integrated Modeling) Suite for Fusion Applications

Language: Python - Size: 104 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 17 - Forks: 7

Plant-Food-Research-Open/calisim

A toolbox for the calibration and evaluation of simulation models.

Language: Python - Size: 7.52 MB - Last synced at: 27 days ago - Pushed at: 30 days ago - Stars: 17 - Forks: 2

smasky/UQPyL

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。

Language: Python - Size: 361 MB - Last synced at: 10 days ago - Pushed at: 12 days ago - Stars: 15 - Forks: 3

JR-1991/Catalax

🏍️ - JAX-based framework to model biological systems

Language: Python - Size: 40.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 15 - Forks: 2

lbliek/MVRSM

MVRSM algorithm for optimising mixed-variable expensive cost functions.

Language: Python - Size: 7.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 12 - Forks: 3

GuillaumeBriffoteaux/pySBO

Python platform for parallel Surrogate-Based Optimization

Language: Python - Size: 9.04 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 5

imperial-qore/DeepFT

Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing

Language: Python - Size: 152 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 2

yonghoonlee/MO-ASMO-I

Multiobjective Adaptive Surrogate Modeling-based Optimization Toolbox I

Language: Matlab - Size: 5.2 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 2

bbopt/sgtelib

Surrogate model library for Derivative-Free Optimization

Language: C++ - Size: 4.96 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 5

yandexdataschool/inverse-problem-intensive

A short course on simulation-based infernce for physics at YSDA in April 2021

Language: Jupyter Notebook - Size: 8.57 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

poyentung/baosa

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

Language: Python - Size: 4.2 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0

NREL/soogo

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

Language: Python - Size: 37.8 MB - Last synced at: 9 days ago - Pushed at: 14 days ago - Stars: 5 - Forks: 9

soldasim/BOSS.jl

BOSS.jl (Bayesian Optimization with Semiparametric Surrogate)

Language: Julia - Size: 3.41 MB - Last synced at: 18 days ago - Pushed at: 21 days ago - Stars: 5 - Forks: 1

NaymaHassanEmu/ANN-Based-Airfoil-Optimization-with-XFOIL

ANN based Surrogate model optimization of airfoil using XFOIL

Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

JBris/prefect-surrogate-models

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

Language: HTML - Size: 7.11 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

ImpedanCEI/IDDEFIX

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

Language: Python - Size: 27.1 MB - Last synced at: 26 days ago - Pushed at: 28 days ago - Stars: 4 - Forks: 1

aresio/surF

surF - a surrogate modeling method based on Discrete Fourier Transform

Language: Python - Size: 27.3 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2

vardhah/UUV-design-optimization

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

Language: Jupyter Notebook - Size: 126 MB - Last synced at: almost 3 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

yonghoonlee/MO-ASMO-II

Revised MO-ASMO Algorithm

Language: Matlab - Size: 4.27 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 2

Plant-Food-Research-Open/calisim-examples-workshop-material

Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.

Language: HTML - Size: 24.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

ctpeterson/SwissFit

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

Language: Python - Size: 2.4 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

Valavanca/compositional-system-for-hyperparameter-tuning

:herb: Introduce surrogate based-optimization beside evolutionary algorithms that can significantly influence on the effort being spent for multi-objective parameter tuning

Language: TeX - Size: 635 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

jaimedantas/perceptron-classification

Implementation of the perceptron algorithm on MATLAB for classification

Language: MATLAB - Size: 280 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2

YevheniiSemendiak/tud_master_text

Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).

Language: TeX - Size: 42.9 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

scwolof/doepy

Python package for design of experiments

Language: Python - Size: 2.18 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

bettercallshao/sklearn_surrogatesearchcv

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

Language: Python - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

Trust-Region Filter/Funnel (TRF) solver is developed using the concepts from nonlinear optimisation, derivative-free optimisation and surrogate modelling, and is used to optimise grey box optimisation problems (coupling glass box mathematical models with available derivative information and the black box models without derivative information).

Language: Python - Size: 563 KB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

manjavacas/fastep

Surrogate EnergyPlus models for fast building energy optimization

Language: Jupyter Notebook - Size: 238 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

NaymaHassanEmu/Surrogate-model-optimization-with-Adaptive-sampling

Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy

Language: Jupyter Notebook - Size: 5.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

rpreen/nkcs

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

Language: Python - Size: 334 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 2

industrial-optimization-group/desdeo-problem

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

Language: Python - Size: 2.95 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 12

mfsungeun/punch-die-optimization-pcb-registration

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

Language: Jupyter Notebook - Size: 26.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

eismont21/knowledge-surrogate-opt

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.

Language: Python - Size: 1.11 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Ahmed-Bayoumy/SLML

Statistical learning models library for blackbox optimization

Language: Python - Size: 1.95 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

mghasemi/sksurrogate

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).

Language: Python - Size: 2.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 2