How to Code for "Artificial Flora (AF) Optimization Algorithm?"

13 views (last 30 days)
The Artificial Flora (AF) Optimization Algorithm has been proposed recently.
The authors wrote that they use MATLAB, but they did not publish the code. Knowing that if there is an open access method that can code this method with MATLAB, it will make a big contribution to science.
It is very important to explicitly publish Matlab codes for the development of the method and the experimental results.
Algorithm of the method proposed by the authors:
You can access the paper and method algorithm in the following address.
If there is anything that can help in the coding, I'm very happy to help you.
I am ready to make the contribution for coding the method with MATLAB.
Thank you very much.
  9 Comments
Eman Fawzy
Eman Fawzy on 24 Jan 2019
Please, Could you send the matlab code at emanfawzy178@yahoo.com
Nadia Aswan
Nadia Aswan on 6 Feb 2019
Hi, Did anyone receive the matlab code for Artificial Flora Algorithm?

Sign in to comment.

Answers (4)

Image Analyst
Image Analyst on 1 Jul 2018
OK, great. That's very generous of you.
Make your contribution (by coding it up) and upload it to the File Exchange. Perhaps it will help others.

Y. K.
Y. K. on 1 Jul 2018
I will develop the algorithm in my spare time.
Thanks.
  4 Comments
Image Analyst
Image Analyst on 21 Apr 2019
Yasin (if you're still there), when you say "I am ready to make the contribution for coding the method with MATLAB", have you done it and if so, will you upload it to the File Exchange for all the people who keep asking for it? Or have you given up?

Sign in to comment.


A B
A B on 21 Apr 2019
Hello,
would you please send me the codes for this algorithm to annasabagh@gmail.com

sai praveen
sai praveen on 3 Jan 2020
In the Artificial Flora optimization algorithm how to calculate or intialise the value of selecting probability Qx ?

Categories

Find more on Startup and Shutdown in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!