Simulated Annealing for noisy cost function
Project description
Josiann: Just anOther SImulated ANNealing
Josiann is a Python library which implements the simulated annealing algorithm for noisy cost functions. It has support for vectorized functions, multiprocessing and provides a parallel mode for optimizing several similar but independent problems at once.
Source code (CeCILL-B): https://github.com/Vidium/josiann
Documentation: https://josiann.readthedocs.io/en/latest/index.html
Installation
Josiann requires Python 3.8+ to run and relies on the following libraries :
- Numpy
- attrs
- tqdm
Pip installation
pip install josiann
Optional diagnostic plots need the library plotly to be generated. You can install it alongside with Josiann :
pip install josiann[plot]
Examples
Several examples of using Josiann can be found in the docs/tutorials folder.
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