A research toolkit for particle swarm optimization in Python
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Updated
Mar 2, 2024 - Python
A research toolkit for particle swarm optimization in Python
A Genetic Algorithm Framework in Python (not for production level)
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
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.
Surrogate Optimization Toolbox for Python
Experimental Global Optimization Algorithm
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
A collection of Benchmark functions for numerical optimization problems
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A solver for mixed-integer nonlinear optimization problems
Julia interface to SCIP solver
Framework of intelligent optimization methods iOpt
[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
Rigorous global optimisation in pure Julia
Hyperparameter optimization in Julia.
A development environment for robust and global optimization
Differential evolution in R
Heuristic global optimization algorithms in Python
A JuMP-based library of Non-Linear and Mixed-Integer Non-Linear Programs
Simplicial Homology Global Optimization
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