ORLGSFOA

ORLGSFOA is an improved starfish optimization algorithm (SFOA) for engineering design and feature selection

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