Feature selection based on adaptive particle swarm optimization with leadership learning

HIGHLIGHTS

• who: Zhiwei Ye et al. from the School of Computer Science, Hubei University of Technology, Wuhan, China have published the paper: Feature Selection Based on Adaptive Particle Swarm Optimization with Leadership Learning, in the Journal: Computational Intelligence and Neuroscience of 28/08/2022
• what: In the paper, APSOLL is proposed for FS, which enhances exploration and exploitation capabilities by utilizing an adaptive updating strategy to guide the population search in a more reasonable scope and the leadership learning strategy to increase population diversity.

SUMMARY

Given a dataset with N features, there . . .

 



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