3 papers
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…
cs.AI2024
Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach
Urtzi Otamendi, Mikel Maiza, Igor G. Olaizola +3
Managing resources effectively in uncertain demand, variable availability, and complex governance policies is a significant challenge. This paper presents a paradigmatic framework…