mealpy 0.2.1

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

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

• Download releases: https://pypi.org/project/mealpy/

• Issue tracker: https://github.com/mealpy/mealpy/issues

• This project also related to my another projects which are "meta-heuristics" and "neural-network", check it here

  • https://github.com/thieunguyen5991/metaheuristics
  • https://github.com/chasebk

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}
}

• 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.

• 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.

• 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.

Documents

Group	STT	Name	Short	Year	Cite
Evolutionary	1	Genetic Algorithm	GA	1992
	2	Differential Evolution	DE	1997
	3
Swarm	1	Particle Swarm Optimization	PSO	1995
	2	Bacterial Foraging Optimization	BFO	2002
	3	Cat Swarm Optimization	CSO	2006
	4	Artificial Bee Colony	ABC	2007
	5	Bat Algorithm	BA	2010
	6	Social Spider Optimization	SSO	2013
	7	Grey Wolf Optimizer	GWO	2014
	8	Social Spider Algorithm	SSA	2015
	9	Ant Lion Optimizer	ALO	2015
	10	Moth Flame Optimization	MFO	2015
	11	Whale Optimization Algorithm	WOA	2016
	12	Bird Swarm Algorithm	BSA	2016