samashi47 / metaheuristics

Implementation of various metaheuristic algorithms in C++ and Python

Metaheuristics

This repository contains code and resources for a university course on Metaheuristics and stochastic search algorithms.

Author: Ahmed Samady

Supervised by: Pr. Khalid Jebari

Overview

The purpose of this repository is to provide implementations of various metaheuristic algorithms in Python and C++. It covers topics such as Genetic Algorithms, Simulated Annealing, Multi-Verse Optimizer, and more.

Note

The Python implementations in this repository for GWO [1][2], MVO [3][4], and ALO [5][6] are adapted from the MATLAB implementations by Dr. Seyedali Mirjalili.

Hashing Algorithms

Algorithm	Python	C++
Genetic Algorithms (incomplete)	❌	✅
Tabu Search	❌	✅
Simulated Annealing	❌	✅
Grey Wolf Optimizer	✅	❌
Multi-Verse Optimizer	✅	❌
Ant Lion Optimizer	✅	❌

Getting Started

To get started with this repository, follow these steps: Clone the repository:

git clone -b main --single-branch [https://github.com/Samashi47/Metaheuristics]

Navigate to the directory of the cloned repository:

cd Metaheuristics

Python

Create a virtual environment in the repository by typing the followwing command:

python -m venv /path/to/repo/on/your/local/machine

After cloning the project and creating your venv, activate the venv by:

.venv\Scripts\activate

You can run the following command to install the dependencies:

pip3 install -r requirements.txt

Note

You should run the main scripts of the ALO, GWO, and MVO algorithms from the base directory so that they can access the common folder that has the Utils class in it (e.g. python '.\Grey Wolf Optimizer\main.py').

C++

Compile the C++ files. For example, to run the Simulated Annealing implementation, you can compile the sa.cpp file in the Simulated Annealing folder using g++:

g++ -o sa sa.cpp

Run the compiled file:

./sa

Contributing

Contributions to this repository are welcome. If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

Contact

For any questions or inquiries, please contact the owner of this repository or open an issue.

Happy coding!

Cite me

Bibtex generic citation

@misc{Samady,
  title={Samashi47/metaheuristics: Implementation of various metaheuristic algorithms in C++ and python},
  url={https://github.com/Samashi47/Metaheuristics},
  journal={GitHub},
  author={Samady, Ahmed}
}

APA7

Samady, A. Samashi47/metaheuristics: Implementation of various metaheuristic algorithms in C++ and python. GitHub. https://github.com/Samashi47/Metaheuristics

References

[1] Seyedali Mirjalili (2024). Grey Wolf Optimizer (GWO) MATLAB Central File Exchange. Retrieved April 22, 2024.
[2] Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in Engineering Software, 69, 46–61. doi:10.1016/j.advengsoft.2013.12.007 
[3] Seyedali Mirjalili (2024). Multi-Verse Optimizer (MVO) MATLAB Central File Exchange. Retrieved April 22, 2024.
[4] Mirjalili, S., Mirjalili, S. M., & Hatamlou, A. (2015). Multi-Verse Optimizer: a nature-inspired algorithm for global optimization. Neural Computing and Applications, 27(2), 495–513. doi:10.1007/s00521-015-1870-7 
[5] Seyedali Mirjalili (2024). Ant Lion Optimizer (ALO) MATLAB Central File Exchange. Retrieved April 22, 2024.
[6] Mirjalili, S. (2015). The Ant Lion Optimizer. Advances in Engineering Software, 83, 80–98. doi:10.1016/j.advengsoft.2015.01.010 \