A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)
Project description
A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)
mealpy
mealpy is a python module for the most of cutting-edge population meta-heuristic algorithms and is distributed under MIT license.
Installation
Dependencies
- Python (>= 3.6)
- Numpy (>= 1.15.1)
User installation
Install the current PyPI release:
pip install mealpy
pip install --upgrade mealpy
Or install the development version from GitHub:
pip install git+https://github.com/thieunguyen5991/mealpy
Example
python examples/simple_run.py
The documentation includes more detailed installation instructions.
Changelog
- See the "ChangeLog.md" for a history of notable changes to mealpy.
Important links
-
Official source code repo: https://github.com/thieunguyen5991/mealpy
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Download releases: https://pypi.org/project/mealpy/
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Issue tracker: https://github.com/mealpy/mealpy/issues
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This project also related to my another projects which are "meta-heuristics" and "neural-network", check it here
Contributions
Citation
If you use mealpy in your project, I would appreciate citations:
@software{thieu_nguyen_2020_3711949,
author = {Thieu Nguyen},
title = {A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon: Mealpy},
month = march,
year = 2020,
publisher = {Zenodo},
doi = {10.5281/zenodo.3711948},
url = {https://doi.org/10.5281/zenodo.3711948}
}
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Nguyen, T., Nguyen, T., Nguyen, B. M., & Nguyen, G. (2019). Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization. International Journal of Computational Intelligence Systems, 12(2), 1144-1161.
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Nguyen, T., Tran, N., Nguyen, B. M., & Nguyen, G. (2018, November). A Resource Usage Prediction System Using Functional-Link and Genetic Algorithm Neural Network for Multivariate Cloud Metrics. In 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA) (pp. 49-56). IEEE.
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Nguyen, T., Nguyen, B. M., & Nguyen, G. (2019, April). Building Resource Auto-scaler with Functional-Link Neural Network and Adaptive Bacterial Foraging Optimization. In International Conference on Theory and Applications of Models of Computation (pp. 501-517). Springer, Cham.
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