JOSÉ MANUEL GARCÍA NIETO
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Revista UCiencia 01/10/2012: Computación natural al servicio de la gestión del tráfico
UCiencia-1/10/2012

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EAAI
TEC
IPL

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Springer
Wiley

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MAEB'09

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...Y después de laboriosas negociaciones y prolijas mensuras, las lindes del término de Palenciana se señalaron por:

El rio Genil en el Norte,
el arroyo de las Cañas por Levante,
y el camino que une la Alameda con Benamejí por el Sur...

Tierra del Sur. Manuel García Hurtado, pp. 151-152, Ed. 1991
PUBLICACIONES [PUBLICATIONS][dblp] [Scopus] [Scholar]

 Libros [Books]

  1. M. Dorigo, H. Hamann, M. López-Ibáñez, J. García-Nieto, A. P. Engelbrecht, C. Pinciroli, V. Strobel, C. L. Camacho-Villalón. Swarm Intelligence - 13th International Conference, ANTS 2022, Málaga, Spain, November 2-4, 2022, Proceedings. Lecture Notes in Computer Science 13491, Springer 2022, ISBN 978-3-031-20175-2
  2. J. F. Aldana-Montes, J. M. García Nieto, Juan Carlos Gonzálvez Cabañas, I. Navas Delgado. Big Data: Seguridad y Gobernanza. García Maroto Editores. (2018) ISBN 9788416806799
  3. J. F. Aldana-Montes, J. M. García Nieto, I. Navas Delgado. Visualización y Consumo de Big Data. García Maroto Editores. (2018) ISBN 9788416806577
  4. J. F. Aldana Montes, J. M.l García Nieto, I. Navas Delgado. Modelado en Big Data. García Maroto Editores. (2017) ISBN 9788416806263
  5. J. F. Aldana Montes, J. M. García Nieto, I. Navas Delgado. Introducción al Trabajo con los Datos. García Maroto Editores. (2017) ISBN 9788416806195
  6. A. Baldominos Gómez, F. Mochón Morcillo, I. Navas Delgado, J. Francisco Aldana Montes, J. Manuel García Nieto y J. C. Gonzálvez Cabañas. Introducción al Big Data. García Maroto Editores. (2016) ISBN 9788415793946

 Tesis y PFC [Thesis]

  1. PhD Thesis. Emergent Optimization: Design and Applications in Telecommunications and Bioinformatics. Supervisor: Enrique Alba. University of Málaga. 22th Feb, 2012.[slides in PDF]

  2. Master Thesis. Algoritmos Basados en Inteligencia Colectiva para la Resolución de Problemas de Bioinformática y Telecomunicaciones. Supervisor: Enrique Alba. University of Málaga. Sep, 2007.

 Revistas de impacto (Indexed in JCR-ISI) [Journals]

  1. H. Nematzadeh, J. García-Nieto, José F. Aldana-Montes, Ismael Navas-Delgado. Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository. Knowledge-Based Systems. Volume 301 , 9 October 2024, 112345 (2024)
  2. A. Segura-Ortiz, J. García-Nieto, J. F. Aldana-Montes, I. Navas-Delgado. Multi-objective context-guided consensus of a massive array of techniques for the inference of Gene Regulatory Networks. Computers in Biology and Medicine. Volume 179 , September 2024, 108850
  3. H. Nematzadeh, J. García-Nieto, José F. Aldana-Montes, Ismael Navas-Delgado. Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets. Expert Systems with Applications.249 Part 1A, 123521 (2024)
  4. A. J. Nebro, M. López-Ibáńez, J. García-Nieto, Carlos A. Coello Coello. On the automatic design of multi-objective particle swarm optimizers: experimentation and analysis. Swarm Intelligence. Springer. In Press (2023)
  5. A. Segura-Ortiz, J. García-Nieto, J. F. Aldana-Montes, I. Navas-Delgado. GENECI: A Novel Evolutionary Machine Learning Consensus-based Approach for the Inference of Gene Regulatory Networks. Computers in Biology and Medicine. Volume 155, March 2023, 106653 (2023)
  6. H. Nematzadeh, J. García-Nieto, I. Navas-Delgado, J. F. Aldana-Montes. Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset. Computers in Biology and Medicine. Volume 155, March 2023, 106613 (2023)
  7. M. Paneque, M. M. Roldán García, J. García-Nieto. A Semantic Model for Enhancing Data-Driven Open Banking Services. Applied Sciences. 13(3), 1447 (2023)
  8. M. Paneque, M. M. Roldán García, J. García-Nieto. e-LION: Data integration semantic model to enhance predictive analytics in e-Learning. Expert Systems with Applications. Volume 213, Part A, 1 March (2023), 118892
  9. H. Nematzadeh, J. García-Nieto, I. Navas-Delgado, J. F. Aldana-Montes. Automatic frequency-based feature selection using discrete weighted evolution strategy. Applied Soft Computing. Volume 130, (2022) 109699
  10. S. Hurtado, J. García-Nieto, A. Popov, I. Navas-Delgado. Human Activity Recognition from Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach,. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI). In-Press (2022) http://dx.doi.org/10.9781/ijimai.2022.05.004
  11. S. Hurtado, J. García-Nieto, I. Navas-Delgado, J. F. Aldana-Montes. FIMED: Flexible management of biomedical data. Computer Methods and Programs in Biomedicine. Volume 212, 106496 (2021)
  12. A. Benítez-Hidalgo, C. Barba Gonzalez, J. García-Nieto, P. Gutiérrez-Moncayo, J. F. Aldana-Martín, M. Paneque, A. J. Nebro, M. M. Roldán García, J. Aldana Montes, I. Navas-Delgado. TITAN: A knowledge-based platform for Big Data workflow management. Knowledge-Based Systems. Volume 232, 107489 (2021)
  13. J. F. Aldana-Martín, J. García-Nieto, M. M. Roldán García, J. Aldana Montes. Semantic Modelling of Earth Observation Remote Sensing. Expert Systems with Applications. Volume 187, 115838 (2021)
  14. Barba Gonzalez, C., Nebro, A.J., García-Nieto, J., Aldana-Montes, J. F. A multi-objective interactive dynamic particle swarm optimizer. Progress in Artificial Intelligence. Vol 9, pages 55-65 (2020)
  15. C. Barba-González; A. J.Nebro; José García-Nieto; M. M. Roldán García; I. Navas-Delgado; José F. Aldana-Montes. Injecting domain knowledge in multi-objective optimization problems: A semantic approach. Computer Standards and Interfaces. Volume 78, 103546 (2021)
  16. S. Hurtado; José García-Nieto; I. Navas-Delgado; José F. Aldana-Montes. Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers. Applies Intelligence 51, pages 1972-1991 (2021)
  17. C. Barba-González; A. J.Nebro; A. Benítez-Hidalgo; José García-Nieto; José F. Aldana-Montes. On the design of a framework integrating an optimization engine with streaming technologies. Future Generation Computer Systems Volume 107, June 2020, Pages 538-550
  18. López-Camacho, E.; García-Godoy, M.J.; García-Nieto, J.; Nebro, A.J.; Aldana-Montes, J.F.Optimizing Ligand Conformations in Flexible Protein Targets: A Multi-Objective Strategy. Soft Computing. Springer. 24, pages10705-10719(2020)
  19. P. Escobar, M. M. Roldán García, J. Peral, G. Candela, J. García-Nieto. An Ontology-Based Framework for Publishing and Exploiting Linked Open Data: A Use Case on Water Resources Management. Applied Sciences. 2020, 10(3), 779
  20. G. R. Zavala, J. García-Nieto, A. J. Nebro. Qom-A New Hydrologic Prediction Model Enhanced with Multi-Objective Optimization. Applied Sciences. 2020, 10(1), 251
  21. A Benítez-Hidalgo, A. J. Nebro, J. García-Nieto, I. Oregi, J. del Ser. jMetalPy: A Python framework for multi-objective optimization with metaheuristics. Swarm and Evolutionary Computation. Volume 51, December (2019), 100598
  22. U. Ahmed, R. Mumtaz, H. Anwar, A. A Shah, R. Irfan, García-Nieto, J.. Efficient Water Quality Prediction Using Supervised Machine Learning. Water - MDPI. 11(11), 2210 (2019)
  23. M. M. Roldán García, J. García-Nieto, A. Maté, J. trujillo, J. F. Aldana Montes. Ontology-Driven Approach for KPI Meta-modelling, Selection and Reasoning. International Journal of Information Management. In Press (2019)
  24. U. Shafi, R. Mumtaz, García-Nieto, J., S. Ali Hassan, S. Ali Raza Zaidi and N. Iqbal. Precision Agriculture Techniques and Practices: From Considerations to Applications. Sensors. 19(17), 3796 (2019)
  25. García-Nieto, J.; Nebro, A.J.; Aldana-Montes, J.F.Inference of gene regulatory networks with multi-objective cellular genetic algorithm. Computational Biology and Chemistry. 80: 409-418 (2019)
  26. García-Godoy, M.J.; López-Camacho, E.; García-Nieto, J.; Del Ser, J.; Nebro, A.J.; Aldana-Montes, J.F.Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives. Applied Soft Computing. 79: 30-45 (2019)
  27. C. Barba-González, J. García-Nieto, M. M. Roldán García, I. Navas-Delgado, J. Aldana Montes, A. J. Nebro BIGOWL: Knowledge centered Big Data analytics. Expert Systems with Applications. 115: 543-556 (2019)
  28. I. Navas-Delgado, J. García-Nieto, E. López-Camacho, M. Rybinski, R. Lavado, M. A. Berciano Guerrero, J. F. Aldana-Montes. VIGLA-M: Visual gene expression data analytics. BMC Bioinformatics. Volume 20 Supplement 4, 150 (2019)
  29. García-Nieto, J.; López-Camacho, E.; García-Godoy, M.J.; Nebro, A.J.; Aldana-Montes, J.F.Multi-objective ligand-protein docking with particle swarm optimizers. Swarm and Evolutionary Computation. Volume 44, Pages 439-452 (2019)
  30. Antonio J.Nebro; Ana B.Ruiz; Cristóbal Barba-González; José García-Nieto; Mariano Luque; José F. Aldana-Montes. InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. Swarm and Evolutionary Computation 40:184-195, (2018)
  31. C. Barba-González, J. García-Nieto, A. J. Nebro, J. A. Cordero, J. J. Durillo, I. Navas-Delgado, J. F. Aldana-Montes, jMetalSP: A framework for dynamic multi-objective big data optimization, Applied Soft Computing, Volume 69, Pages 737-748, (2018)
  32. M. M. Roldán García, J. García-Nieto, J. Aldana Montes. Enhancing semantic consistency in anti-fraud rule-based expert systems. Expert Systems with Applications. 90: 332-343 (2017)
  33. Zambrano-Vega, C., Nebro, A. J., García-Nieto, J. and Aldana-Montes, J. F., M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic. Bioinformatics. 33(19):3011-3017. 2017
  34. Zambrano-Vega, C., Nebro, A. J., Durillo, J. J., García-Nieto, J. and Aldana-Montes, J. F., Multiple Sequence Alignment with Multiobjective Metaheuristics. A Comparative Study. International Journal of Intelligent Systems. (2017) doi:10.1002/int.21892
  35. García-Godoy, M.J.; López-Camacho, E.; García-Nieto, J.; Nebro, A.J.; Aldana-Montes, J.F.Molecular Docking Optimization in the Context of Multi-Drug Resistant and Sensitive EGFR Mutants. Molecules. (2016), 21, 1575
  36. M. M. Roldán García, J. García-Nieto, J. Aldana Montes. An ontology-based data integration approach for web analytics in e-commerce. Expert Systems with Applications. 63: 20-34 (2016)
  37. J. Ferrer, J. Garcia-Nieto, E. Alba, and F. Chicano. Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios. Mathematical Problems in Engineering. Volume 2016 (2016), Article ID 3871046
  38. M. J. García Godoy, E. López-Camacho, J. García-Nieto, A. J. Nebro, J. F. Aldana-Montes Solving Molecular Docking Problems with Multi-Objective Metaheuristics. Molecules, 20(6):10154-10183, 2015. DOI: http://dx.doi.org/10.3390/molecules200610154
  39. E. López-Camacho, M. J. García Godoy, J. García-Nieto, A. J. Nebro, J. F. Aldana-Montes. Solving molecular flexible docking problems with metaheuristics: A comparative study. Applied Soft Computing, 28(1):379-393, 2015. DOI: http://http://dx.doi.org/10.1016/j.asoc.2014.10.049
  40. A. C. Olivera, J. García-Nieto, E. Alba Reducing Vehicle Emissions and Fuel Consumption in the City by using Particle Swarm Optimization. Applied Intelligence (2015), 42(3), pp. 389-405
  41. J. García-Nieto, E. Alba. Hybrid PSO6 for Hard Continuous Optimization. Soft Computing (2015). 19(7), pp. 1843-1861
  42. J. Apolloni, J. García-Nieto, E. Alba, G. Leguizamón. Empirical Evaluation of Distributed Differential Evolution on Standard Benchmarks. Applied Mathematics and Computation. 236(1):351-366, June 2014 DOI: http://dx.doi.org/10.1016/j.amc.2014.03.083
  43. J. García-Nieto, A. C. Olivera, E. Alba Optimal Cycle Program of Traffic Lights with Particle Swarm Optimization. IEEE Transaction of Evolutionary Computation (TEC). 17(6):823-839, December 2013. DOI: http://dx.doi.org/10.1109/TEVC.2013.2260755
  44. J. Toutouh, J. García-Nieto, E. Alba. Intelligent OLSR Routing Protocol Optimization for VANETs. IEEE Transactions on Vehicular Technology, 60(4):1884-1894, May 2012. DOI: http://dx.doi.org/10.1109/TVT.2012.2188552
  45. J. García-Nieto, E. Alba Parallel Multi-Swarm Optimizer for Gene Selection in DNA Microarray. Applied Intelligence, 37(2):255-266, 2012 DOI: http://dx.doi.org/10.1007/s10489-011-0325-9
  46. J. García-Nieto, E. Alba, A. C. Olivera. Swarm intelligence for traffic light scheduling: Application to real urban areas. Engineering Applications of Artificial Intelligence. 25(2):274-283, March 2012. DOI: http://dx.doi.org/10.1016/j.engappai.2011.04.011
  47. J. García-Nieto, E. Alba. Restart Particle Swarm Optimization with Velocity Modulation:A Scalability Test. Soft Computing, A Fusion of Foundations, Methodologies and Applications. 15(11):2221-2232. 2011. DOI: http://dx.doi.org/10.1007/s00500-010-0648-1
  48. J. García-Nieto, J. Toutouh, E. Alba. Automatic Tuning of Communication Protocols for Vehicular Ad-Hoc Networks Using Metaheuristics. Engineering Applications of Artificial Intelligence. Special Issue: Advances in metaheuristics for hard optimization: new trends and case studies. 23(5):795-805, August 2010, DOI: http://dx.doi.org/10.1016/j.engappai.2010.01.012
  49. J. J. Durillo, A. J. Nebro, C. A. Coello Coello, J. García-Nieto, F. Luna, E. Alba. A Study of Multi-Objective Metaheuristics when Solving Parameter Scalable Problems. IEEE Transaction of Evolutionary Computation (TEC), 14 (4):618-635, Aug 2010. DOI: http://dx.doi.org/10.1109/TEVC.2009.2034647
  50. J. García-Nieto, E. Alba, L. Jourdan, E-G. Talbi. Sensitivity and Specifity Based Multiobjective Approach for Feature Selection: Application to Cancer Diagnosis. Information Processing Letters, 109(16):887-896. 31 July 2009, DOI: http://dx.doi.org/10.1016/j.ipl.2009.03.029

 Revistas internacionales (Non-indexed in JCR-ISI) [International Journals]

  1. Zambrano-Vega, C., Nebro, A.J., García-Nieto, J., Aldana-Montes, J. F. Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment. Progress in Artificial Intelligence. 6(3):195-210, (2017).
  2. C. Barba Gonzalez, J. García-Nieto, Ismael Navas Delgado, J. F. Aldana Montes: A Fine Grain Sentiment Analysis with Semantics in Tweets. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI). 3(6):22-28 (2016)
  3. J. García-Nieto, E. Alba. Swarm Intelligence Approach for Accurate Gene Selection in DNA Microarrays ERCIM-NEW Special Theme: Computational Biology. 82, pp. 26-28, 2010
  4. E. Alba, G. Luque, J. García-Nieto, G. Ordóñez, G. Leguizamón, MALLBA: A Software Library To Design Efficient Optimization Algorithms, International Journal of Innovative Computing and Applications (IJICA), 1(1):74 - 85 2007. DOI: 10.1504/IJICA.2007.013403 (BibTeX)

 Capítulos de Libro [Book Chapters]

  1. Juan J. Durillo, Antonio J. Nebro, José García-Nieto, and Enrique Alba. On the Velocity Update in Multi-objective Particle Swarm Optimizers. Advances in multi-objective nature inspired computing, Dhaenens, C., Vermeulen-Jourdan, L., Coello Coello, C.A. (eds.), pp. 45-62. Springer Berlin / Heidelberg, 2009
  2. J. García-Nieto, F. Chicano, E. Alba, ROS: Remote Optimization Service, Optimization Techniques for Solving Complex Problems E. Alba et al. (eds.). pp. 433-457, Wiley & Sons, 2009

 Conferencias Internacionales [International Conferences]

  1. A. Segura-Ortiz, J. García-Nieto, J. F. Aldana-Montes. Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks. LNCS of Computational Science – ICCS 2024, 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, pp. 3 - 17, Part IV
  2. D. Doblas, A. J. Nebro, M. López-Ibáńez, J. García-Nieto, Carlos A. Coello Coello. Automatic Design of Multi-objective Particle Swarm Optimizers. Lecture Notes in Computer Science of the Swarm Intelligence - 13th International Conference, ANTS 2022, Málaga, Spain, November 2-4, 2022: 28-40
  3. S. Hurtado, J. García-Nieto, I. Navas Delgado. A Service for Flexible Management and Analysis of Heterogeneous Clinical Data. Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022: 227-238
  4. S. Hurtado, H. Nematzadeh, J. García-Nieto, M. A. Berciano Guerrero, I. Navas Delgado. On the Use of Explainable Artificial Intelligence for the Differential Diagnosis of Pigmented Skin Lesions. Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022: 319-329
  5. A. J. Nebro, M. López-Ibáńez, C. Barba-González, J. García-Nieto Automatic configuration of NSGA-II with jMetal and irace.In Genetic and Evolutionary Computation Conference (GECCO) -Companion, Prague. pp. 1374-1381. July 13th-17th 2019
  6. C. Barba-González, V. Ojalehto, J. García-Nieto, A. J. Nebro, K. Miettinen and J. F. Aldana-Montes. Articial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods.In LNCS of XV International Conference on Parallel Problem Solving from Nature (PPSN XV). LNCS, volume 11101, pp. 274-285, Coimbra, Portugal, 8-12 September 2018
  7. A. J. Nebro, J. J. Durillo, J. García-Nieto, C. Barba-González, J. Del Ser, C. A. Coello Coello, A. Benítez-Hidalgo and J. F. Aldana-Montes. Extending the Speed-constrained Multi-Objective PSO (SMPSO) With Reference Point Based Preference Articulation.In LNCS of XV International Conference on Parallel Problem Solving from Nature (PPSN XV). LNCS, volume 11101, pp. 298-310, Coimbra, Portugal, 8-12 September 2018
  8. C. Barba-González, J. García-Nieto, A. Benítez-Hidalgo, A. J. Nebro and J. F. Aldana-Montes. Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform.In Proceedings of 12th International Symposium on Intelligent Distributed Computing (ICD 18). Springer Studies in Computational Intelligence. Bilbao, Spain, 15-17 October 2018
  9. A. Benítez-Hidalgo, A. J. Nebro, J. J. Durillo, J. García-Nieto, E. López-Camacho, C. Barba-González and J. F. Aldana-Montes. About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework.In Proceedings of 12th International Symposium on Intelligent Distributed Computing (ICD 18). Springer Studies in Computational Intelligence. Bilbao, Spain, 15-17 October 2018
  10. Antonio J. Nebro, C. Barba-González, J. García-Nieto, J. A. Cordero, and J. F. Aldana-Montes. Design and architecture of the jMetaISP framework. Genetic and Evolutionary Computation Conference (GECCO'17), Companion Material Proceedings. pp. 1239-1246 Berlin, Germany, July 15-19, 2017,
  11. Zambrano-Vega, C., Nebro, A.J., García-Nieto, J., Aldana-Montes, J. F. A Multi-Objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics. In LNBI of 5th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017). Vol. 2, pp. 245-256, April 26-28. Granada (Spain)
  12. C. Barba-González, J. García-Nieto, Antonio J. Nebro and J. F. Aldana-Montes. Multi-Objective Big Data Optimization with jMetal and Spark. In LNCS of 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017).pp. 16-30
  13. M. Rybinski, M. Roldán García, J. García-Nieto, J. Fr. Aldana-Montes. DisMatch results for OAEI 2016. In Proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 18, 2016. Vol-1766:161-165
  14. Jo. A. Cordero, Antonio J. Nebro, C. Barba-González, J. Durillo, J. García-Nieto, I. Navas Delgado, J. Aldana Montes. Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study. MOD 2016: Machine Learning, Optimization, and Big Data. pp 106-117 106-117
  15. E. López-Camacho, M. J. García Godoy, J. García-Nieto, A. J. Nebro, J. F. Aldana-Montes. A New Multi-objective Approach for Molecular Docking Based on RMSD and Binding Energy. In LNCS of International Conference on Algorithms for Computational Biology. (AlCoB) Mérida (Spain) 2016: 65-77
  16. E. López-Camacho, M. J. García Godoy, J. García-Nieto, A. J. Nebro, J. J. Durillo, J. F. Aldana-Montes. A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking. In: Dorigo M. et al. (eds) LNCS. Swarm Intelligence. ANTS 2016. Lecture Notes in Computer Science, vol 9882. 2016: 40-52
  17. José García-Nieto, Javier Ferrer and Enrique Alba. Optimising Traffic Lights with Metaheuristics: Reduction of Car Emissions and Consumption. In IEEE WCCI - International Joint Conference on Neural Networks (IJCNN'14). pp.48 - 54. Beijin China, July 2014
  18. José García-Nieto, and Enrique Alba. Why Six Informants Is Optimal in PSO. In ACM Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'12). pp.25-32, Phyladelpia, USA, July 2012
  19. José García-Nieto, Ana C. Olivera, and Enrique Alba. Enhancing the Urban Road Traffic with Swarm Intelligence: A Case Study of Cordoba City Downtown. In IEEE Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA'2011). pp. 368-373, Córdoba, Spain, November 2011
  20. José García-Nieto, and Enrique Alba. Empirical Computation of the Quasi-optimal Number of Informants in Particle Swarm Optimization. In ACM Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'11). pp.147-154. Dublin, Ireland, July 2011
  21. J. Toutouh, J. García-Nieto, and E. Alba, Optimal Configuration of OLSR Routing Protocol for VANETs by Means of Differential Evolution. in 3rd International Conference on Metaheuristics and Nature Inspired Computing (META'2010), October, 2010, D'Jerba (Tunissia). Published on CD.
  22. J.; García-Nieto, E. Alba. Automatic Parameter Tuning with Metaheuristics of the AODV Routing Protocol for Vehicular Ad-Hoc Networks. In LNCS of the Seventh European Workshop on the Application of Nature-inspired Techniques to Telecommunication Networks and other Connected Systems, (EvoCOMNET'10) EvoWorkshops10, Springer-Verlag, pp. 21-30, Istambul, 2010
  23. José García-Nieto, Enrique Alba, and Javier Apolloni. Hybrid DE-SVM Approach for Feature Selection: Application to Gene Expression Datasets. In Proceedings of the 2nd. IEEE International Symposium on Logistics and Industrial Informatics (LINDI 2009)Linz, pp.-1-6 Austria. 10-12 Sep. 2009
  24. José García-Nieto, Enrique Alba, and Javier Apolloni. Noiseless Functions Black-Box Optimization: Evaluation of a Hybrid Particle Swarm with Differential Operators. In ACM Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'09). pp. 2231-2237. Montréal, Canada, 2009
  25. José García-Nieto, Enrique Alba, and Javier Apolloni. Particle Swarm Hybridized with Differential Evolution: Black-Box Optimization Benchmarking for Noisy Functions. In ACM Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'09). pp. 2343-2349. Montréal, Canada, 2009
  26. Juan J. Durillo, José García-Nieto, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna and Enrique Alba, Multi-Objective Particle Swarm Optimizers: An Experimental Comparison, in LNCS 5th International Conference on Evolutionary Multi-Criterion Optimization (EMO'2009), Springer Berlin / Heidelberg, pp. 495-509, Nantes, France, April 7-10, 2009.
  27. Antonio J. Nebro, Juan J. Durillo, Jose García-Nieto, Carlos A. Coello Coello, Francisco Luna and Enrique Alba, SMPSO: A New PSO-based Metaheuristic for Multi-objective Optimization, in 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, pp. 66-73, IEEE Press, Nashville, Tennessee, USA, March 30 - April 2, 2009
  28. Javier Apolloni, Guillermo Leguizamón, José García-Nieto and Enrique Alba. Island Based Distributed Differential Evolution: An Experimental Study on Hybrid Testbeds. In Proceedings of the IEEE 8th International Conference on Hybrid Intelligent Systems (HIS 2008), IEEE Computer Society, pp. 696-701, Barcelona, Spain, 2008.
  29. E. G. Talbi, L. Jourdan, J. García-Nieto and E. Alba. Comparison of population based metaheuristics for feature selection: Application to microarray data classification. In Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-08), pp. 45-52, Doha, Qatar, 2008.
  30. Enrique Alba, José García-Nieto, Javid Taheri, and Albert Zomaya. New Research in Nature Inspired Algorithms for Mobility Management in GSM Networks. In LNCS of the Fifth European Workshop on the Application of Nature-inspired Techniques to Telecommunication Networks and other Connected Systems, EvoWorkshops08, Springer-Verlag, pp. 1-10, Napoli Italy, 2008. [URL]
  31. E. Alba, J. García-Nieto, L. Jourdan and E. G. Talbi. Gene Selection in Cancer Classification using PSO/SVM and GA/SVM Hybrid Algorithms, In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'2007), pp. 284-290, Singapore, 27 Sep, 2007. DOI: 10.1109/CEC.2007.4424483
  32. J. García-Nieto, L. Jourdan, E. Alba and E. G. Talbi. A Comparison of PSO and GA Approaches for Gene Selection and Classification of Microarray Data, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'07), London, UK, 2007.
  33. E. Alba, J. García-Nieto, F. Chicano. Using Metaheuristics Algorithms Via ROS. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'07), London, UK, 2007.
  34. El-Ghazali Talbi, Laeticia Jourdan, Jose García-Nieto and Enrique Alba. Sélection d'attributs de puce à ADN par essaim de particules. In Optimisation par Essaim Particulaire (OEP 2007), Paris, France, 23 April, 2007.

 Conferencias Nacionales [National Conferences]

  1. C. Barba-González, J. García-Nieto, A. B. Ruiz Mora, A. J. Nebro, M. Luque Gallego and J. F. Aldana-Montes. Algoritmo Evolutivo Multi-Objetivo para la Toma de Decisiones Interactiva en Optimización Dinámica. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (MAEB-CAEPIA'18). Granada 2018.
  2. M. M. Roldán García, J. García-Nieto, J. Aldana Montes. Key work of Enhancing semantic consistency in anti-fraud rule-based expert systems. Actas de las XXIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2018). Sevilla.
  3. E. López-Camacho, M. J. García Godoy, J. García-Nieto, A. J. Nebro, J. F. Aldana-Montes. Estudio de Estrategias de Archivo en PSO Multi-Objetivo para el Docking Molecular. XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB-CAEPIA'16). pp. 113-122 .Salamanca 2016.
  4. C. Barba-Gonzalez, A. J. Nebro, J. García-Nieto, J. A. Cordero, J. J. Durillo, I. Navas-Delgado, J. F. Aldana-Montes. Un Framework Basado en jMetal y Spark. XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB-CAEPIA'16). pp. 159-168 .Salamanca 2016.
  5. M. M. Roldán García, J. García-Nieto, J. Aldana Montes. Un Repositorio RDF para la Integración de Flujos de Datos de Analítica Web y Comercio Electrónico. Actas de las XXI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2016). pp. 307-320. CEDI 2016, Salamanca
  6. E. López-Camacho, M. J. García Godoy, J. García-Nieto, A. J. Nebro, J. F. Aldana-Montes Docking Inter/Intra-Molecular Mediante Metaheurísticas Multi-objetivo. X Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15). Mérida, 4 a 6 de Febrero de 2015.
  7. J. García-Nieto, and E. Alba Metaheurísticas para Smart Mobility: Reducción de Emisiones y Consumo de Carburantes en el Tráfico Urbano. CAEPIA Multiconferencia: IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13). Madrid, 17 a 20 de septiembre, 2013.
  8. J. Ferrer, J. García-Nieto, E. Alba, and F. Chicano Validación Inteligente para la Sincronización de Semáforos Basada en Feature Models. CAEPIA Multiconferencia: IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13). Madrid, 17 a 20 de septiembre, 2013.
  9. J. García-Nieto, E. Alba, and A. C. Olivera Particle swarm optimizatión aplicado a la programación de los ciclos de semáforos en Bahía Blanca. XVIII Congreso Argentino de Ciencias de la Computación (CACIC'12). Bahía Blanca, 8 a 12 de octubre, 2012.
  10. J. García-Nieto, E. Alba, and A. C. Olivera Planificación de Ciclos en Semáforos con PSO: Casos de Estudio sobre Málaga y Sevilla. VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12), pp. 117-124. Albacete, 8 a 10 de febrero, 2012.
  11. J. Toutouh, J. García-Nieto, E. Alba Configuración Óptima del Protocolo de Encaminamiento OLSR para VANETs Mediante Evolución Diferencial. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), Valencia, 7 a 10 de septiembre, 2010.
  12. J. García-Nieto, J. Apolloni, E. Alba & G. Leguizamón. Algoritmo Basado en Cúmulos de Partículas y Evolución Diferencial para la Resolución de Problemas de Optimización Continua. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), Málaga, 11 a 13 de Febrero, pp. 433 - 440, 2009.
  13. E. Alba, J. García-Nieto y G. Luque, Algoritmos Basados en Cúmulos de Partículas para el Análisis de Microarrays de ADN. En las Actas del V congreso sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pp. 419-426, Tenerife, España, Febrero, 2007.(BibTeX)
  14. E. Alba, J.G. Nieto y F. Chicano, ROS: Servicio de Optimización Remota, En J. Riquelme y P. Botella (eds.) Actas de las JISBD, pp. 509-514, Barcelona 2006. (BibTeX)

 Informes Técnicos [Technical Reports]

  1. E. Alba y J. G. Nieto, ROS (Remote Optimization Service), Informe Técnico ITI 05-08, Dpto. de Lenguajes y CC.CC., Universidad de Málaga, 2005. (BibTeX)
  
   
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Última Actualización 02/12/2006