Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
Oct 4, 2025 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
A unified interface for optimization algorithms and experiments
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Add on for Hyperactive package to visualize progress of optimization run.
Standardized test-functions for optimization algorithms and machine-learning
Thread safe and atomic data collection into csv-files
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