Temporal difference reinforcement learning-based ant colony optimization with extremized probability construction for feature selection
Abstract
• Integrates TD(0) RL into BACO for adaptive heuristic learning. • Extremized probabilistic path enhances exploration-exploitation. • Validated on 21 datasets (14–2000 features), 30 runs, 10-fold cross-validation. • Outperformed 7 state-of-the-art FS algorithms. • Maintains high precision, recall and F1 with
Fields of Study & Subjects
Metaheuristic Optimization Algorithms Research
Reinforcement Learning in Robotics
Advanced Multi-Objective Optimization Algorithms
Publication details
- Journal / source
- Results in Engineering
- Publisher
- Elsevier BV
- Volume
- 29
- Pages
- 109721–109721
- Publication date
- 25 February 2026
- Language
- EN