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
	13	Swarm Robotics Search And Rescue	SRSR	2017
	14	Grasshopper Optimisation Algorithm	GOA	2017
	15	Earthworm Optimisation Algorithm	EOA	2018
	16	Moth Search Algorithm	MSA	2018
	17	Rhino Herd Optimization	RHO	2018
	18	Emperor Penguin Optimizer	EPO	2018
	19	Nake Mole-rat Algorithm	NMRA	2019
	20	Bald Eagle Search	BES	2019
	21	Pathfinder Algorithm	PFA	2019
	22	Sailfish Optimizer	SFO	2019
	23	Harris Hawks Optimization	HHO	2019
	24	Manta Ray Foraging Optimization	MRFO	2020