Antonio D. Masegosa

59 papers B 2C 2Misc 1Journal 31Unranked 21
YearRankTypeTitle / Venue / Authors
2025 — conf
Clustering-Based Route Optimization for Mixed Ride-Sharing Under Time Constraints.
HAIS (2)
Mercedes Ccesa-Quincho, Jenny Fajardo Calderín, Xabier Cantero, Antonio D. Masegosa, Leire Serrano
2025 J jnl
Modeling of shared mobility services - An approach in between aggregate four-step and disaggregate agent-based approaches for strategic transport planning.
J. Intell. Transp. Syst.
Santhanakrishnan Narayanan, Josep Maria Salanova Grau, Rodric Frederix, Athina Tympakianaki, Antonio D. Masegosa, Constantinos Antoniou
2025 — conf
Optimization of Traffic Signals Using Bayesian Optimization in a Multi-Step Prompt Engineering Method.
ITSC
Blessing Itoro Afolayan, Arka Ghosh, Samra Sarwar, Antonio D. Masegosa, Jenny Fajardo Calderín
2025 J jnl
Understanding the Role of Diversity in Ensemble-Based AutoML Methods for Classification Tasks.
IEEE Access
Salomey Osei, Andrés R. Masegosa, Antonio D. Masegosa
2024 J jnl
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem.
Expert Syst. Appl.
Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva
2024 J jnl
Emerging Trends in Machine Learning Assisted Optimization Techniques Across Intelligent Transportation Systems.
IEEE Access
Blessing Itoro Afolayan, Arka Ghosh, Jenny Fajardo Calderín, Antonio D. Masegosa
2024 J jnl
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation.
IEEE Access
Erick Rodríguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Arka Ghosh
2023 — conf
A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective.
ITSC
Arka Ghosh, Juan S. Angarita-Zapata, Antonio D. Masegosa, Ander Arriandiaga Laresgoiti
2023 — conf
A two-phase metaheuristic approach for the parcel locker location problem: First select then merge.
MT-ITS
Erick Rodríguez-Esparza, Emmanouil Kampitakis, Antonio D. Masegosa, Enrique Onieva, Eleni I. Vlahogianni
2023 J jnl
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting.
CoRR
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
2022 J jnl
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem.
CoRR
Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva
2021 J jnl
A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective.
Sensors
Juan S. Angarita-Zapata, Ainhoa Alonso-Vicario, Antonio D. Masegosa, Jon Legarda
2021 J jnl
Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem.
IEEE Access
Cynthia Porras, Jenny Fajardo, Alejandro Rosete, Antonio D. Masegosa
2020 J jnl
Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial].
IEEE Intell. Transp. Syst. Mag.
Eneko Osaba, Javier J. Sánchez Medina, Eleni I. Vlahogianni, Xin-She Yang, Antonio D. Masegosa, Joshué Pérez Rastelli, Javier Del Ser
2020 — conf
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting.
IPMU (2)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
2019 J jnl
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective.
IEEE Access
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
2019 J jnl
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics.
Appl. Intell.
Pedro López-García, Antonio D. Masegosa, Eneko Osaba, Enrique Onieva, Asier Perallos
2019 — conf
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks.
GECCO (Companion)
Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser
2018 Misc conf
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting.
IDC
Juan S. Angarita-Zapata, Isaac Triguero, Antonio D. Masegosa
2018 — conf
A Software Tool for the Optimization of Airport Services by the Simulation and Modelling of Travelers' Behavior.
UCAmI
Asier Moreno, Pilar Elejoste, Antonio D. Masegosa, Beatriz Rodriguez Ruiz, Paula Perez
2018 — conf
Ensemble and Fuzzy Techniques Applied to Imbalanced Traffic Congestion Datasets: A Comparative Study.
BIOMA
Pedro López-García, Antonio D. Masegosa, Enrique Onieva, Eneko Osaba
2018 J jnl
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems.
Neurocomputing
Eneko Osaba, Roberto Carballedo, Fernando Díaz, Enrique Onieva, Antonio D. Masegosa, Asier Perallos
2017 J jnl
A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy.
Soft Comput.
Eneko Osaba, Xin-She Yang, Fernando Díaz, Enrique Onieva, Antonio D. Masegosa, Asier Perallos
2017 J jnl
An algorithm portfolio for the dynamic maximal covering location problem.
Memetic Comput.
Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta
2017 — conf
Applications of Soft Computing in Intelligent Transportation Systems.
Soft Computing Based Optimization and Decision Models
Antonio D. Masegosa, Enrique Onieva, Pedro López-García, Eneko Osaba
2016 J jnl
A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy.
CoRR
Eneko Osaba, Xin-She Yang, Fernando Díaz, Enrique Onieva, Antonio D. Masegosa, Asier Perallos
2016 J jnl
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.
IEEE Trans. Intell. Transp. Syst.
Pedro López-García, Enrique Onieva, Eneko Osaba, Antonio D. Masegosa, Asier Perallos
2016 B conf
Dynamic optimization with restricted and unrestricted moves between changes: A study on the dynamic maximal covering location problem.
CEC
Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta
2016 — conf
Enhancing Improved Heuristic Drift Elimination for Wrist-Worn PDR Systems in Buildings.
VTC Fall
Luis Enrique Díez, Alfonso Bahillo, Safaa Bataineh, Antonio D. Masegosa, Asier Perallos
2016 — conf
Enhancing improved heuristic drift elimination for step-and-heading based pedestrian dead-reckoning systems.
EMBC
Luis Enrique Díez, Alfonso Bahillo, Safaa Bataineh, Antonio D. Masegosa, Asier Perallos
2016 J jnl
Fuzzy Models and Resolution Methods for Covering Location Problems: an Annotated Bibliography.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Virgilio C. Guzmán, Antonio D. Masegosa, David A. Pelta, José L. Verdegay
2016 J jnl
GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization.
Expert Syst. Appl.
Pedro López-García, Enrique Onieva, Eneko Osaba, Antonio D. Masegosa, Asier Perallos
2016 — conf
Short-Term Traffic Congestion Forecasting Using Hybrid Metaheuristics and Rule-Based Methods: A Comparative Study.
CAEPIA
Pedro López-García, Eneko Osaba, Enrique Onieva, Antonio D. Masegosa, Asier Perallos
2016 — conf
TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary Techniques.
GECCO (Companion)
Eneko Osaba, Pedro López-García, Antonio D. Masegosa, Enrique Onieva, Hugo Landaluce, Asier Perallos
2015 J jnl
A Novel Software Architecture for the Provision of Context-Aware Semantic Transport Information.
Sensors
Asier Moreno, Asier Perallos, Diego López-de-Ipiña, Enrique Onieva, Itziar Salaberria, Antonio D. Masegosa
2015 — conf
A new optimization approach for indoor location based on Differential Evolution.
IFSA-EUSFLAT
Antonio D. Masegosa, Alfonso Bahillo, Enrique Onieva, Pedro López-García, Asier Perallos
2015 J jnl
Algorithm portfolio based scheme for dynamic optimization problems.
Int. J. Comput. Intell. Syst.
Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta
2015 J jnl
An adaptive local search with prioritized tracking for Dynamic Environments.
Int. J. Comput. Intell. Syst.
Antonio D. Masegosa, Enrique Onieva, Pedro López-García, Eneko Osaba, Asier Perallos
2015 — conf
Hybridizing Genetic Algorithm with Cross Entropy for Solving Continuous Functions.
GECCO (Companion)
Pedro López-García, Enrique Onieva, Eneko Osaba, Antonio D. Masegosa, Asier Perallos
2014 J jnl
A new fuzzy linguistic approach to qualitative Cross Impact Analysis.
Appl. Soft Comput.
Pablo J. Villacorta, Antonio D. Masegosa, Dagoberto Castellanos, María T. Lamata
2014 J jnl
The role of cardinality and neighborhood sampling strategy in agent-based cooperative strategies for Dynamic Optimization Problems.
Appl. Soft Comput.
Antonio D. Masegosa, David A. Pelta, Ignacio García del Amo
2014 J jnl
Thematic issue on advances in nature inspired cooperative strategies for optimization.
Memetic Comput.
Fernando E. B. Otero, Antonio D. Masegosa, Germán Terrazas
2013 J jnl
A centralised cooperative strategy for continuous optimisation: The influence of cooperation in performance and behaviour.
Inf. Sci.
Antonio D. Masegosa, David Alejandro Pelta, José L. Verdegay
2013 — conf
Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm.
NICSO
Jenny Fajardo Calderín, Antonio D. Masegosa, Alejandro Rosete-Suárez, David A. Pelta
2013 — conf
Fuzzy linguistic multicriteria morphological analysis in scenario planning.
IFSA/NAFIPS
Pablo J. Villacorta, Antonio D. Masegosa, María T. Lamata
2013 — ed.
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Learning, Optimization and Interdisciplinary Applications, Canterbury, UK, September 2-4, 2013
NISCO
Germán Terrazas, Fernando E. B. Otero, Antonio D. Masegosa
2012 — conf
A Linguistic Approach to Structural Analysis in Prospective Studies.
IPMU (1)
Pablo J. Villacorta, Antonio D. Masegosa, Dagoberto Castellanos, María T. Lamata
2012 J jnl
An algorithm comparison for dynamic optimization problems.
Appl. Soft Comput.
Ignacio García del Amo, David A. Pelta, Juan Ramón González, Antonio D. Masegosa
2011 C conf
A cooperative strategy for parameter estimation problems in Systems Biology: Preliminary results.
ISDA
Antonio D. Masegosa, Federico Rutolo, David A. Pelta
2011 J jnl
A cooperative strategy for solving dynamic optimization problems.
Memetic Comput.
Juan Ramón González, Antonio D. Masegosa, Ignacio J. García
2011 C conf
Sensitivity analysis in the scenario method: A multi-objective approach.
ISDA
Pablo J. Villacorta, Antonio D. Masegosa, Dagoberto Castellanos, Pavel Novoa-Hernández, David A. Pelta
2011 J jnl
Solving multiple instances at once: the role of search and adaptation.
Soft Comput.
Antonio D. Masegosa, David A. Pelta, Juan Ramón González
2010 J jnl
A software modeling approach for the design and analysis of cooperative optimization systems.
Softw. Pract. Exp.
Ignacio José García del Amo, David A. Pelta, Antonio D. Masegosa, José L. Verdegay
2010 B conf
Cooperation rules in a trajectory-based centralised cooperative strategy for Dynamic Optimisation Problems.
IEEE Congress on Evolutionary Computation
Juan Ramón González, Antonio D. Masegosa, Ignacio García del Amo, David A. Pelta
2010 — conf
Using Knowledge Discovery in Cooperative Strategies: Two Case Studies.
NICSO
Antonio D. Masegosa, Enrique Muñoz Ballester, David A. Pelta, José Manuel Cadenas
2009 J jnl
A framework for developing optimization-based decision support systems.
Expert Syst. Appl.
Juan Ramón González, David A. Pelta, Antonio D. Masegosa
2009 — conf
Cooperative Strategies and Reactive Search: A Hybrid Model Proposal.
LION
Antonio D. Masegosa, Franco Mascia, David A. Pelta, Mauro Brunato
2008 — conf
On the Performance of Homogeneous and Heterogeneous Cooperative Search Strategies.
NICSO
Antonio D. Masegosa, David A. Pelta, Ignacio García del Amo, José L. Verdegay
2007 — ch.
An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances.
NICSO
Antonio D. Masegosa, Alejandro Sancho-Royo, David A. Pelta