Alternatives and similar repositories for MIP-EGO:

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

• anyoptimization / pysamoo
  ☆43Updated last year
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆25Updated 4 months ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆14Updated 6 years ago
• Eric-Bradford / TS-EMO
  This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
  ☆100Updated 4 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆86Updated 2 years ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆106Updated 2 years ago
• lbliek / MVRSM
  MVRSM algorithm for optimising mixed-variable expensive cost functions.
  ☆12Updated last month
• coin-or / Bonmin
  Basic Open-source Nonlinear Mixed INteger programming
  ☆132Updated 6 months ago
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆83Updated 2 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆49Updated 3 years ago
• sjvrijn / mf2
  Collection of Multi-Fidelity benchmark functions
  ☆27Updated 7 months ago
• fireshape / fireshape
  A shape optimisation toolbox built on the Firedrake finite element library.
  ☆28Updated this week
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆208Updated 3 years ago
• PythonOptimizers / NLP.py
  A Python environment for large-scale optimization.
  ☆30Updated 7 years ago
• ShuaiGuo16 / Surrogate_Optimization
  A step-by-step guide for surrogate optimization using Gaussian Process surrogate model
  ☆32Updated 4 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆29Updated 8 months ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆25Updated 5 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆79Updated 7 months ago
• jkaardal / pyipm
  An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
  ☆81Updated 3 years ago
• nathanrooy / landscapes
  A dependency free library of standardized optimization test functions written in pure Python.
  ☆61Updated last year
• cog-imperial / galini
  An extensible MINLP solver
  ☆43Updated 2 years ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated last year
• anyoptimization / pysampling
  Sampling: Random, LHS, Sobol, Halton
  ☆11Updated 3 years ago
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆57Updated last month
• aminnayebi / HesBO
  The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
  ☆41Updated 5 years ago
• gptune / GPTune
  ☆71Updated 2 months ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• jomorlier / mdocourse
  Materials for my Structural and Multidisciplinary Design Optimization course
  ☆42Updated 2 months ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆28Updated last year