Global Optimization
Showing 6 of 6 projects
A Python package for constrained global optimization using Bayesian inference and Gaussian processes.
A Python library for heuristic optimization algorithms including Genetic Algorithm, PSO, Simulated Annealing, and Ant Colony Optimization.
A library for nonlinear optimization, providing a unified interface to multiple local and global optimization algorithms.
A Python research toolkit for implementing and visualizing particle swarm optimization algorithms.
A pure Rust numerical optimization library offering a wide range of algorithms with a consistent, type-agnostic interface.
An evolutionary optimization library for Go implementing genetic algorithms, particle swarm optimization, differential evolution, and other algorithms.
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