ORLGSFOA
ORLGSFOA is an improved starfish optimization algorithm (SFOA) for engineering design and feature selection
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
ORLGSFOA is an improved starfish optimization algorithm (SFOA) for engineering design and feature selection, which integrates opposition-based learning, reinforcement learning, and the growth optimizer with the basic SFOA. The illustrating examples of some benchmark functions are provided in this website.
Main paper: Changting Zhong, Hao Chen, Dabo Xin, Tong Xu, Zeng Meng, Xinwei Wang, Ali Riza Yildiz, Seyedali Mirjalili, Opposition and reinforcement learning growth-starfish optimization algorithm for engineering design and feature selection, Knowledge-Based Systems, 2026, 115522. doi:10.1016/j.knosys.2026.115522
Cite As
Changting Zhong, Hao Chen (2026). ORLGSFOA (https://www.mathworks.com/matlabcentral/fileexchange/183223), MATLAB Central File Exchange. Retrieved February 8, 2026.
General Information
- Version 1.0.1 (6.61 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
