3 papers
cs.LG2026
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe +1
This study presents a novel hybrid prognostic framework for uncertainty-aware Remaining Useful Life (RUL) estimation in turbofan engines using the NASA C-MAPSS dataset. The framewo…
cs.AI2025
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models
Diego Forniés-Tabuenca, Alejandro Uribe, Urtzi Otamendi +3
Multi-objective optimization is fundamental in complex decision-making tasks. Traditional algorithms, while effective, often demand extensive problem-specific modeling and struggle…
cs.AI2024
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
Maria Zampella, Urtzi Otamendi, Xabier Belaunzaran +4
Scheduling problems pose significant challenges in resource, industry, and operational management. This paper addresses the Unrelated Parallel Machine Scheduling Problem (UPMS) wit…