Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
Aug 15, 2024 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Add on for Hyperactive package to visualize progress of optimization run.
A collection and visualization of single objective black-box functions for optimization benchmarking.
Thread safe and atomic data collection into csv-files
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