Hybrid Metaheuristic Feature Selection for Automotive Battery Capacity and Health Prediction Models
Feature selection and model tuning are coupled decisions in real-world electric-vehicle battery analysis: the search must balance predictive performance, feature burden, model complexity, and computational demand. This study develops three integrated hybrids—Adaptive Differential Evolution–Particle Swarm Optimisation (...