mosa 0.8.6

Multi-Objective Simulated Annealing (MOSA) implementation in pure Python.

Multi-Objective Simulated Annealing (MOSA)

Simulated Annealing (SA) has been initially proposed in Optimization by Simulated Annealing as an optimization heuristic. Multi-objective Simulated Annealing (MOSA) extends the original, single-objective SA to approximate the Pareto front in multi-objective optimization problems.

A comprehensive discussion on MOSA and its algorithm variants can be found in Multi-objective Simulated Annealing: Principles and Algorithm Variants.

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Installation

The easiest way to install MOSA is using pip:

pip install mosa

Documentation

You can access the API documentation for MOSA on the project's GitHub Pages site.

Contribution

Contributions are definitely welcome. However, it should be mentioned that this repository uses poetry as a package manager.

Source code must be formatted using black.

Disclaimer

The code is provided "as is," with no guarantees regarding the accuracy of its results. The author assumes no responsibility for any losses arising from the use of the code.

Bugs must be reported as issues on the project's GitHub repository.