A research toolkit for particle swarm optimization in Python

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

A Genetic Algorithm Framework in Python (not for production level)

Experimental Global Optimization Algorithm

An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyDPop77, and PyMePop7)

Surrogate Optimization Toolbox for Python

Hyperparameter optimization in Julia.

A collection of Benchmark functions for numerical optimization problems

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

A development environment for robust and global optimization

A solver for mixed-integer nonlinear optimization problems

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

Julia interface to SCIP solver

Rigorous global optimisation

Heuristic global optimization algorithms in Python

Framework of intelligent optimization methods iOpt