Multi-strategy assisted chaotic coot-inspired optimization algorithm for medical feature selection: A cervical cancer behavior risk study

Gang Hu, Jingyu Zhong, Xupeng Wang, Guo Wei

Abstract: Highlights•Proposing an enhanced chaotic COOT algorithm called COBHCOOT for global optimization.•Introducing chaos map, opposition-based learning and hunting strategy in COBHCOOT.•Testing the performance and practicability of COBHCOOT with different metrics.•Comparing COBHCOOT with state-of-the-art algorithms for medical feature selection.•COBHCOOT algorithm is competitive and superior to comparative algorithms.