A research toolkit for particle swarm optimization in Python
-
Updated
Mar 2, 2024 - Python
A research toolkit for particle swarm optimization in Python
A Genetic Algorithm Framework in Python (not for production level)
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.
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
Surrogate Optimization Toolbox for Python
Hyperparameter optimization in Julia.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A development environment for robust and global optimization
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
A solver for mixed-integer nonlinear optimization problems
A collection of Benchmark functions for numerical optimization problems
[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 in pure Julia
Heuristic global optimization algorithms in Python
Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods
Simplicial Homology Global Optimization
Particle swarm optimization library
Add a description, image, and links to the global-optimization topic page so that developers can more easily learn about it.
To associate your repository with the global-optimization topic, visit your repo's landing page and select "manage topics."