Differential Evolution
Python - C++ implementation for Holt-Winters optimization.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Specific for fedora but is pretty easy to follow along in any linux distribution.
Prerequisites
- Linux
- g++
- Python 2.7
- Matplotlib
- Numpy
g++
sudo dnf -y install gcc-c++
Python and dependencies:
sudo dnf -y install python
sudo dnf -y install pip
pip istall --user numpy
pip install --user matplotlib
Installing
It's all done, you can just use it.
Using
after install, you just need to use:
python graficar.py
you might have to use python3 instead of python
Built With
Versioning
We use SemVer for versioning.
Authors
- Germán Ruelas - Developer - GitHub
See also the list of contributors who participated in this project.
License
This project is licensed under the GPL 3 License - see the LICENSE.md file for details
Project Status
The project has ended, currently do not have maintenance. I'm willing to add new features in case that is needed.
Acknowledgments
- Dr. Luis Miguel García Velázquez for the idea and understanding of the technique.
- Carlos Montiel for the python graphing part