407 citations
- Universidad de GranadaES26 papers
- Instituto de Astrofísica de AndalucíaES17 papers
- Centre National de la Recherche ScientifiqueFR13 papers
- Universidad de ZaragozaES11 papers
- Special Astrophysical ObservatoryRU9 papers
- Aryabhatta Research Institute of Observational SciencesIN7 papers
- Goddard Space Flight CenterUS7 papers
- University of the Basque CountryES7 papers
- Chinese Academy of SciencesCN6 papers
- Czech Academy of Sciences, Astronomical InstituteCZ6 papers
- Universidade da CoruñaES6 papers
- Universidade de São PauloBR6 papers
25 papers · 1 filter
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…
Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification
Jamal Toutouh
This paper studies semi-supervised tabular classification in the extreme low-label regime using lightweight base learners. The paper proposes a cooperative coevolutionary method (C…
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…
Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms
Walter P. Casas, Jamal Toutouh
Generative adversarial networks (GANs) are powerful generative models but remain challenging to train due to pathologies suchas mode collapse and instability. Recent research has e…
Adversarial attacks to image classification systems using evolutionary algorithms
Sergio Nesmachnow, Jamal Toutouh
Image classification currently faces significant security challenges due to adversarial attacks, which consist of intentional alterations designed to deceive classification models…