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.

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]

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

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

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

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.

Julia interface to SCIP solver

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

Rigorous global optimisation

Heuristic global optimization algorithms in Python

Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).