Invasive Weed Optimization (IWO) is a nature-inspired metaheuristic, inspired by spreading strategy of weeds, and proposed by Alireza Mehrabian and Caro Lucas, in 2006. Based on the r/K Selection Theory, the artificial weeds (solutions) use the r-Selection strategy in the beginning of algorithms, and gradually they switch to K-Selection strategy, as algorithm continues to running. For more information on the IWO, you can refer to the main paper, where the algorithm was proposed therein, in this link.
In this post, we are going to share with you, the structured open-source implementation of Invasive Weed Optimization (IWO) in MATLAB. If you are familiar with MATLAB programming language, you will find it easy to use the provided source codes, in your research or projects.
The download link of this project follows.
Implementation of Invasive Weed Optimization (IWO) in MATLABDownload
Citing This Work
If you wish, you can cite this content as follows.
Cite as:Mostapha Kalami Heris, Invasive Weed Optimization (IWO) in MATLAB (URL: https://yarpiz.com/251/ypea119-invasive-weed-optimization), Yarpiz, 2015.