Alternatives and similar repositories for MIP-EGO

Users that are interested in MIP-EGO are comparing it to the libraries listed below

• Eric-Bradford / TS-EMO
  This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
  ☆102Updated 5 years ago
• anyoptimization / pysamoo
  ☆47Updated last year
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆26Updated last month
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆212Updated 3 years ago
• jkaardal / pyipm
  An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
  ☆82Updated 3 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆92Updated 2 years ago
• cog-imperial / galini
  An extensible MINLP solver
  ☆44Updated 3 months ago
• coin-or / Bonmin
  Basic Open-source Nonlinear Mixed INteger programming
  ☆138Updated 11 months ago
• PythonOptimizers / NLP.py
  A Python environment for large-scale optimization.
  ☆30Updated 7 years ago
• lbliek / MVRSM
  MVRSM algorithm for optimising mixed-variable expensive cost functions.
  ☆11Updated 6 months ago
• coin-or / SHOT
  A solver for mixed-integer nonlinear optimization problems
  ☆125Updated last month
• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆104Updated 4 months ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 3 years ago
• coin-or / COIN-OR-OptimizationSuite
  A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.
  ☆130Updated 4 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 3 months ago
• MrFelixP / PoCET
  Polynomial Chaos Expansion Toolbox for MATLAB
  ☆34Updated last month
• baptistar / greedyPC
  Randomized Greedy Polynomial Chaos Expansions
  ☆11Updated 6 years ago
• ANL-CEEESA / powersas.m
  PowerSAS.m - A power grid analysis toolbox based on semi-analytical solutions (SAS) for Matlab/GNU Octave
  ☆20Updated last year
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• process-intelligence-research / ReLU_ANN_MILP
  With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the …
  ☆64Updated last month
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆133Updated this week
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆85Updated 2 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆28Updated last year
• bbopt / nomad
  NOMAD - A blackbox optimization software
  ☆143Updated 3 weeks ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆83Updated last year
• zavalab / JuliaBox
  ☆59Updated 5 months ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆107Updated 2 years ago
• ShuaiGuo16 / Surrogate_Optimization
  A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
  ☆32Updated 4 years ago
• pnnl / slim
  Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
  ☆18Updated 2 years ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆15Updated 6 years ago