/SFOpy

Sunflower Optimization toolkit.

Primary LanguagePythonMIT LicenseMIT

SFOpy

SFOpy is a research toolkit that implements Sunflower Optimization (SFO) algorithm in Python. The goal with this project is to implement this algorithm in a way that it's extensive while being extensible.

  • Open-Source: MIT License
  • Python version: 3.6 and above.

Note

This project is under development and not ready for use.


Features

  • Single objective SFO algorithm

Installation

To install this module, it's necessary to clone it with git as it's not uploaded do Pypi


Basic Usage

To be implemented.

Credits

This project was inspired by the SFO algorithm developed by Gomes, G. F. from

Gomes, G. F., da Cunha, S. S., & Ancelotti, A. C. A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates. Engineering with Computers, p. 1-8, 2018. DOI: https://doi.org/10.1007/s00366-018-0620-8