Surrogate Optimization Toolbox for Python

asynchronous optimization global-optimization black-box-optimization gaussian-processes bayesian-optimization radial-basis-function global-optimization-algorithms surrogate-models surrogate-based-optimization

• Updated Oct 27, 2021
• Jupyter Notebook

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

optimization genetic-algorithm hyperparameter-optimization evolutionary-algorithms global-optimization constraint-programming meta-heuristic optimization-methods differential-evolution optimization-tools black-box-optimization optimization-algorithms integer-programming global-optimization-algorithms stochastic-optimizers metaheuristics discrete-optimization mixed-integer-programming mathematical-programming mathematical-optimization

• Updated Oct 13, 2026
• C++

Framework of intelligent optimization methods iOpt

hyperparameter-optimization global-optimization global-optimization-algorithms parameter-tuning global-optimizers

• Updated Aug 10, 2026
• Python

Global optimization algorithms written in C++

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• Updated Apr 13, 2021
• C++

A settings-free global optimization method based on PSO and fuzzy logic

fuzzy-logic particle-swarm-optimization global-optimization-algorithms swarm-intelligence-algorithms

• Updated Dec 19, 2025
• Python

🎯 📈 Sequential and Model-Based Optimization in Python, feat. SCE-UA, SMBO & SHGO. SOTA perf; 0 deps

optimization optimize scientific-computing hyperparameter-optimization bayesopt global-optimization hydrology optimization-tools bayesian-optimization hyperparameter-tuning optimization-algorithms global-optimization-algorithms partial-dependence-plot hyperparameter-search hydrological-modelling blackbox-optimization surrogate-based-optimization scikit-optimize sce-ua scipy-optimize

• Updated Jul 10, 2025
• Python

Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants

machine-learning optimization optimizer global-optimization black-box-optimization nonlinear-optimization optimization-algorithms global-optimization-algorithms non-linear-optimization non-convex-optimization lipschitz-functions zeroth-order-optimization zero-order-methods lipschitz-bandit

• Updated Apr 23, 2026
• Jupyter Notebook

Feature Selection using Simulated Annealing

python search data-science machine-learning optimization ml feature-selection global-optimization simulated-annealing feature-engineering optimization-algorithms optimisation optimisation-algorithms global-optimization-algorithms global-search annealing global-optimizers global-searching global-optima

• Updated Aug 10, 2022
• Jupyter Notebook

The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation

artificial-intelligence multi-objective-optimization evolutionary-algorithm monte-carlo-tree-search random-search global-optimization-algorithms simulation-optimization pareto-optimality partition-based-random-search

• Updated Oct 4, 2017
• C

Comparison of global optimization algorithms, including scipy, optuna, hyperopt, platypus, facebook-ax, pysot and others.

optimization global-optimization optimization-methods optimization-algorithms global-optimization-algorithms

• Updated Feb 13, 2021
• Python

Multi-objective Simulated Annealing (MOSA) implementation in pure Python.

monte-carlo simulated-annealing multi-objective-optimization optimization-algorithms global-optimization-algorithms heuristic-algorithm

• Updated Oct 30, 2026
• Python

A Complete Toolbox for Adaptive and Hybrid Genetic Algorithms in R

data-science evolutionary-algorithms data-analysis multi-objective-optimization genetic-algorithms single-objective-optimization global-optimization-algorithms nature-inspired-algorithms hybrid-genetic-algorithm biologically-inspired-algorithm adaptive-genetic-algorithms

• Updated Sep 17, 2021
• R

Testing optimizers and time-series algorithms, and assigning them Elo ratings.

timeseries time-series optimizer global-optimization global-optimization-algorithms time-series-analysis timeseries-forecasting optuna pysot

• Updated Apr 8, 2021
• Python

Python3 code for gradient-free global optimization

genetic-algorithm machine-learning-algorithms bayesian-inference simulated-annealing hill-climbing evolutionary-algorithm tabu-search global-optimization-algorithms stochastic-optimization smartrunner extremal-optimization

• Updated Feb 13, 2025
• Python

MABSearch: The Bandit Way of Learning the Learning Rate - A Harmony Between Reinforcement Learning and Gradient Descent

python machine-learning reinforcement-learning optimization global-optimization gradient-descent learning-rate multi-armed-bandit global-optimization-algorithms metaheuristics multiarm-bandit multiarmed-bandits global-minimum

• Updated Oct 28, 2023
• Jupyter Notebook

Python GOSOLNP implementation based on pysolnp. This algorithm solves Global Optimization problems with optional equality and/or inequality constraints.

optimization python3 global-optimization global-optimization-algorithms solnp gosolnp

• Updated Mar 23, 2022
• Python

C++ implementation of the metaheuristic spy_algorithm. It can search for global optimal solutions for arbitrary non-convex functions.

cpp cpp17 global-optimization metaheuristic global-optimization-algorithms metaheuristics metaheuristic-optimisation metaheuristic-algorithms spy-algorithm

• Updated Sep 23, 2023
• C++

1D Inversion Modeling MT using One-to-One-Based Optimizer (OOBO) Algorithm

inversion geophysics magnetotellurics global-optimization-algorithms

• Updated May 7, 2025
• MATLAB

A Delay-Aware Damping Framework for Latency-Constrained Feedback Systems.

control-systems feedback-systems control-theory robotics-control global-optimization-algorithms python-engine systems-engineering boundary-conditions comparative-analysis damping academic-research latency-constrained second-order-systems damping-ratio latency-optimization computational-verification settling-time measurement-delay decreasing-function analytical-derivation

• Updated Jun 9, 2026
• Python

Implementation of the Hybrid Patch Decomposition Algorithm - a solver for multi-objective mixed-integer convex optimization problems

global-optimization optimization-algorithms multiobjective-optimization global-optimization-algorithms mixed-integer-optimization

• Updated Dec 12, 2023
• Python