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.
If you have any questions, corrections, comments or suggestions, just drop a message.
You can also reach me on Linkedin or follow me on X. When I have some free time, which is rare, I publish articles on Medium.
If you want to support this and other open source projects that I maintain, become a sponsor on Github.
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.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mosa-0.9.3.tar.gz.
File metadata
- Download URL: mosa-0.9.3.tar.gz
- Upload date:
- Size: 32.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
poetry/1.8.2 CPython/3.11.9 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f62f085e58b138660d8d9295f4aef94bbda084665a383a5f1a08a76dc43fd267
|
|
| MD5 |
2ad483cc1bc793f67a148a6d000296f5
|
|
| BLAKE2b-256 |
49fcae0165ea696e0e99e1c96c533ab12467e82d5caed2c74263a0fc40154844
|
File details
Details for the file mosa-0.9.3-py3-none-any.whl.
File metadata
- Download URL: mosa-0.9.3-py3-none-any.whl
- Upload date:
- Size: 33.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
poetry/1.8.2 CPython/3.11.9 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d354dadf0d25c130cc4539d9b6bc16ea667ef8383b7509aeb5890ac8050d7d7c
|
|
| MD5 |
b1c1ca026b575dcda424bb5a5800ab12
|
|
| BLAKE2b-256 |
29f86216dd2a45f858f7d633e21b3c17c0be07a181178f4296c4eb8e92d20f99
|
