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PSO Enhancements for Feature Selection by JEREMIAH ISUWA is a document available to read on EtoBox.
What is PSO Enhancements for Feature Selection about?
This paper surveys improvements to the Particle Swarm Optimization (PSO) algorithm specifically for feature selection, highlighting its application in high-dimensional data challenges. It organizes and summarizes recent research from 2019 to present, identifying trends, open challenges, and literature gaps in the field. The study aims to provide a comprehensive classification of PSO enhancements and insights for future research directions.
- Author
- JEREMIAH ISUWA
- Language
- EN