Publications
Edited Books:
B. Dorronsoro, L. Amodeo, M. Pavone, P. Ruiz (eds.), Optimization and Learning, Fourth International Conference on Optimization and Learning, OLA 2021, Catania, Italy, June 21-23, Proceedings, Communications in Computer and Information Science vol. 1443, Springer-Verlag, 2021. ISSN 1865-0929. ISBN 978-3-030-85671-7.
B. Dorronsoro, F. Yalaoui, E.-G. Talbi, G. Danoy (eds.), Metaheuristics and Nature Inspired Computing, 8th International Conference, META 2021, Marrakech, Morocco, October 27-30, 2021, Proceedings, Communications in Computer and Information Science vol. 1541, Springer-Verlag, 2022. ISSN 1865-0929. ISBN 978-3-031-22038-8.
B. Dorronsoro, M. Pavone, A. Nakib, E.-G. Talbi (eds.), Optimization and Learning, Fifth International Conference on Optimization and Learning, OLA 2022, Syracuse, Italy, July 18-20, Proceedings, Communications in Computer and Information Science vol. 1684, Springer-Verlag, 2022. ISSN 1865-0929. ISBN 978-3-030-85671-7.
B. Dorronsoro, P. Ruiz, J.C. de La Torre, D. Urda-Muñoz and E.G. Talbi. (eds.) Optimization and Learning. Proceedings of the third International Conference on Optimization and Learning, OLA 2020, Cadiz, Spain, February 17-19, Communications in Computer and Information Science. Springer-Verlag, 2020.
Book Chapters:
David Peña, Renzo Massobrio, Bernabé Dorronsoro, Sergio Nesmachnow, and Patricia Ruiz. Designing a Sustainable Bus Transport System with High QoS using Computational Intelligence. Encyclopedia of Sustainable Technologies. Elsevier. 2022 (in press).
T. Macias-Escobar, B. Dorronsoro, L. Cruz-Reyes, N. Rangel-Valdez, C. Gómez-Santillán, A Survey of Hyper-heuristics for Dynamic Optimization Problems, in Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, Springer, Studies in Computational Intelligence series, vol. 862, pp. 463-477, 2020. ISBN 978-3-030-35445-9.
H. J. Fraire Huacuja, C. Soto, B. Dorronsoro, C. Gómez Santillán, N. Rangel Valdez, F. Balderas-Jaramillo, AMOSA with Analytical Tuning Parameters and Fuzzy Logic Controller for Heterogeneous Computing Scheduling Problem, in Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, Springer, Studies in Computational Intelligence series, vol. 862, pp. 195-208, 2020. ISBN 978-3-030-35445-9.
Patricia Ruiz, Bernabé Dorronsoro, Juan Carlos de la Torre, and Juan Carlos Burguillo. Including Dynamic Adaptative Topology to Particle Swarm Optimization Algorithms. Project Management and Engineering Research. pp 517–531. Springer. 2020.
Journal Articles:
P. Ruiz, J. M. Aragon, M. Seredynski, J. F. Cabrera, D. Peña, J. C. de la Torre, A. Y. Zomaya, B. Dorronsoro, Optimal Battery Management Strategies for Plug-in Electric Hybrid Buses on Routes Including Green Corridors, Sustainable Cities and Sustainability, 94:104556, 2023. ISSN 2210-6707. IF: 10.696 (Q1).
C. Soto, E. Ángel-Martínez, H. Fraire, B. Dorronsoro, N. Rangel, L. Cruz-Reyes, Two novel Branch and Bound algorithms for the Vertex Bisection Problem, Expert Systems with Applications, vol. 190, paper 116169, pp. 1-9, 2022. ISSN 0957-4174. IF: 8.665 (Q1).
R. Massobrio, S. Nesmachnow, J. Muraña, B. Dorronsoro, Learning to optimize timetables for efficient transfers in public transportation systems, Applied Soft Computing, vol. 119, paper 108616, 2022. ISSN 1568-4946. IF: 8.263 (Q1)
R. Massobrio, S. Nesmachnow, F. Palomo-Lozano, B. Dorronsoro, Virtual Savant as a generic learning approach applied to the basic independent Next Release Problem, Applied Soft Computing, vol. 108, pp. 107374, 2021. ISSN 1568-4946. IF: 8.263 (Q1)
R. Magán-Carrión, D. Urda, I. Díaz-Cano, B. Dorronsoro, Improving the Reliability of Network Intrusion Detection Systems through Dataset Aggregation, IEEE Transactions on Emerging Topics in Computing, 10(4):1717-1732, 2022. ISSN 2168-6750. IF: 6.595 (Q1 JCR)
D. Peña, A. Tchernykh, B. Dorronsoro and P. Ruiz . A Novel Multi- Objective Optimization Approach to Guarantee Quality of Service and Energy Efficiency in a Heterogeneous Bus Fleet System. Engineering Optimization 55(6):981997, 2023. ISSN 0305-215X. IF 2.50 (Q2)
R. Magán-Carrión, D. Urda, I. Díaz-Cano, B. Dorronsoro, Evaluating the Impact of Different Feature as a Counter Data Aggregation Approaches on the Performance of NIDSs and Their Selected Features, Logic Journal of the IGPL, in press, 2023. ISSN 1367-0751. IF: 0.868 (Q2)
A. Santiago, B. Dorronsoro, H.J. Fraire and P. Ruiz. Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: 𝜇FAME. Swarm and Evolutionary Computation.Volume 61 (2021), 100818. 2021. (Q1 JCR)
J. C. de la Torre, R. Massobrio, P. Ruiz, S. Nesmachnow, B. Dorronsoro. Parallel Virtual Savant for the Heterogeneous Computing Scheduling Problem. Journal of Computational Science, vol. 39, 101048, pp. 1-12, 2020. ISSN 1877-7503. IF 2.644 (Q2)
C. Soto, B. Dorronsoro, H. Fraire, L. Cruz-Reyes, C. Gómez-Santillán, N. Rangel, Solving the Multi-objective Flexible Job Shop Scheduling Problem with a Novel Parallel Branch and Bound Algorithm, Swarm and Evolutionary Computation, vol. 53C, 100632, pp.1-16, 2020. ISSN 2210-6502. IF 6.912 (Q1)
P. Pavón-Domínguez, S. Moreno-Pulido, A Fixed-Mass multifractal approach for unweighted complete networks. Physica A: Statistical Mechanics and its Applications. Volume 541, 1 March 2020, 123670. IF 2.924 (Q2)
T. Macias, L. Cruz-Reyes, H. Fraire Huacuja, B. Dorronsoro, Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences, Future Generation Computer Systems 110, 864-875, 2020. ISSN 0167-739X. IF 6.125 (Q1)
T. Macias-Escobar, L. Cruz-Reyes, B. Dorronsoro, H. Fraire-Huacuja, N. Rangel-Valdez, C. Gómez-Santillán, Application of Population Evolvability in a Hyper-Heuristic for Dynamic Multi-Objective Optimization, Technological and Economic Development of Economy 25(5):951-978, 2019. ISSN 2029-4913. IF 2.194 (Q2)
R. Magán-Carrión, D. Urda, I. Diaz-Cano, B. Dorronsoro, Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches, Applied Sciences 10(5):1-21, 2020. IF 2.474 (Q2)
S. Iturriaga, S. Nesmachnow, G. Goñi, B. Dorronsoro, A. Tchernykh, Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks, Programming and Computer Software 45(8):544-566. 2019. ISSN 0361-7688. IF 0.637 (Q4)
T. Macias-Escobar, L. Cruz-Reyes, B. Dorronsoro, H. Fraire-Huacuja, N. Rangel-Valdez, C. Gómez-Santillán, Application of Population Evolvability in a Hyper-Heuristic for Dynamic Multi-Objective Optimization, Technological and Economic Development of Economy 25(5):951-978, 2019. ISSN 2029-4913. IF 2.194 (Q2)
P. Pavón-Domínguez, S. Moreno-Pulido, A Fixed-Mass multifractal approach for unweighted complete networks. Physica A: Statistical Mechanics and its Applications. Volume 541, 1 March 2020, 123670. IF 2.924 (Q2)
P. Pavón-Domínguez, S. Moreno-Pulido and Pedro Burgos Pinto. Temporal evolution of multifractality in the Madrid Metro subway network. Chaos, Solitons and Fractals. Vol 142. 110370. 2022. (Q1 JCR).
P. Pavón-Domínguez, S. Moreno-Pulido. Sandbox fixed-mass algorithm for multifractal unweighted complex networks. Chaos, Solitons and Fractals. Vol 16. 2022. (Q1 JCR)
Pablo Pavón-Domínguez, Thomas Plocoste. Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown. Atmospheric Research.Volume 261. 105755. 2021.(Q1 JCR)
David Peña, Renzo Massobrio, Juan Carlos de la Torre, Bernabé Dorronsoro and Patricia Ruiz. A Two-step Optimization Process for Efficient Scheduling of Heterogeneous Fleets of Electric Buses with Synchronized Transfers. Transportation Research Procedia. 2022 (in press)
Conferences:
Patricia Ruiz, Juan Carlos de la Torre, Renzo Massobrio, Pablo Moreno, Marcin Seredynski and Bernabé Dorronsoro. A Recommendation System for Efficient PEH Bus Operation Based on Unsupervised Machine Learning. International Conference on Optimization and Learning, pages 423-425. 2021. Catania, June, Sicily.
D. Peña, P. Ruiz, A. Tchernykh and B. Dorronsoro. Multi-Objective Optimization Model for Sustainable Urban
Transportation Ensuring the Quality of Service.International Conference on Optimization and Learning, pages 401-403. 2021. Catania, June, Sicily.
P. Ruiz, M. Seredynski, A. Arias, B. Dorronsoro. Unsupervised Approach for Efficient PEH
Bus Operation Mode. The 3rd Symposium on Management of Future Motorway and Urban Traffic Systems. 6-8th July, 2020. Luxembourg.
P. Ruiz, A. Arias, R. Massobrio, J. C. de la Torre, M. Seredynski, B. Dorronsoro. Intelligent
Electric Drive Management for Plug-in Hybrid Buses. International Conference on Optimization and Learning. Communication in Computing and Information Science vol. 1173, Springer-Verlag, pp. 85- 97, 2020. ISBN 978-3-030-41912-7.
J. C. de la Torre, P. Ruiz, P. L. Galindo, and B. Dorronsoro. Predicción del impacto de las transformaciones LLVM en el rendimiento del software. Jornadas de Ingeniería del Software y Bases de Datos (JISBD). Cáceres, 2019.
A. Ruiz-Zafra, R. Magán-Carrión. A Distributed Digital Object Architecture to Support Secure IoT
Ecosystems. In International Conference on Optimization and Learning (pp. 195-205). Springer, 2020.
A. Ruiz-Zafra, J. Pigueiras, A. Millan-Alcaide, V. Larios, R. Maciel. A Digital Object-based
Infrastructure for Smart Governance of Heterogeneous Internet of Things Systems. In 2020 IEEE International Smart Cities Conference, 2020.
D. Nimo, B. Dorronsoro, I. J. Turias, D. Urda, Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance, Optimization and Learning, Third International Conference on Optimization and Learning, OLA, pp. 58-68, 2020. ISBN 978-3-030-41912-7.
Juan Antonio Rodriguez-Baeza, Roberto Magán-Carrión and Patricia Ruiz. Advances on Security in Ad Hoc Networks: A preliminary analysis. 16th Iberian Conference on Information Systems and Technologies (CISTI). 2021
Juan Antonio Rodriguez-Baeza, Roberto Magán-Carrión and Patricia Ruiz. Líneas de Defensa y Seguridad en Redes ad hoc: un Estudio Sistemático. Reunión Española sobre Criptología y Seguridad de la Información. 2021
D. Peña, B. Dorronsoro, A. Tchernykh and P. Ruiz. Public Transport Timetable and Charge Optimization Using Multiple Electric Buses Types. The Genetic and Evolutionary Computation Conference (GECCO). 2022
Patricia Ruiz, Marcin Seredynski, Álvaro Torné, and Bernabé Dorronsoro. A Digital Twin for Bus Operation in Public Urban Transportation Systems. International Conference on Big Data Intelligence and Computing (FCP). 2022