14 citations · 38 across the 10 of their papers we have counts for
5 papers · 1 filter
Profiling Lightweight Large Language Models
Tomohiro Harada, Enrique Alba, Gabriel Luque
Lightweight large language models (LLMs) are increasingly being deployed locally on personal computers and are expected to play a growing role in resource-constrained edge and mobi…
Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems
Diego Daniel Pedroza-Perez, Gabriel Luque, Sergio Nesmachnow +1
Dock-based bike-sharing systems exhibit spatial imbalances between bicycle supply and user demand, often addressed through overnight truck-based rebalancing. This work studies stat…
A Methodology for Effective Surrogate Learning in Complex Optimization
Tomohiro Harada, Enrique Alba, Gabriel Luque
Solving complex problems requires continuous effort in developing theory and practice to cope with larger, more difficult scenarios. Working with surrogates is normal for creating…
Green Optimization: Energy-aware Design of Metaheuristics by Using Machine Learning Surrogates to Cope with Real Problems
Tomohiro Harada, Enrique Alba, Gabriel Luque
Addressing real-world optimization challenges requires not only advanced metaheuristics but also continuous refinement of their internal mechanisms. This paper explores the integra…
Energy-Aware Metaheuristics
Enrique Alba, Tomohiro Harada, Gabriel Luque
This paper presents a principled framework for designing energy-aware metaheuristics that operate under fixed energy budgets. We introduce a unified operator-level model that quant…