Particle swarm optimization with problem-aware hyperparameter design for feature selection in high dimensions
Abstract: Highlights•Proposes a problem-aware PSO design for high-dimensional feature selection.•Introduces an inertia weight adjustment strategy based on PSO's optimization.•Proposes a statistical initialization method for acceleration coefficients.•Assesses importance and redundancy of selected features in high dimensions.
External IDs:dblp:journals/isci/GaoLZGWG26
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