ajnebro

Antonio J. Nebro

Dr. Ingeniero en Infomática (PhD in Computer Science)

Catedrático de Universidad (Full Professor)

  • Departamento de Lenguajes y Ciencias de la Computación
  • E.T.S. Ingeniería Informática
  • Boulevard Louis Pasteur s/n. 29071 Málaga (SPAIN)
  • Despacho 3.2.15
  • Teléfono: +34 952 13 33 10
  • Edificio de Investigación Ada Byron
  • C/ Arquitecto Francisco Peñalosa, 18. 29071 Málaga (SPAIN)
  • Laboratorio A.2.1
  • Teléfono: +34 951 95 29 20

Tutorías

  • Martes, de 8:30 a 10:30 y de 16:00 a 18:00 (virtual)
  • Jueves, de 8:30 a 10:30

Líneas de investigación (research lines)

  • Optimización multi-objetivo ( Multiobjective optimization)
  • Optimización aplicada a bioinformática, ingeniería civil y agricultura ( Bioinformatics, agriculture, and civil engineering problems optimization)
  • Algoritmos metaheurísticos paralelos ( Parallel metaheuristics)

Docencia (teaching)

  • Big Data
  • Mantenimiento y Pruebas del Software ( Software Testing and Maintenance)
  • Integración, Gestión y Procesamiento de Datos a Gran Escala ( Large Scale Data Processeing, Integration and Management)

Máster en Advanced Analytics on Big Data

Enlaces (Links)

Software projects

logojMetal

jMetal: Java Framework For Multi-Objective Optimization with Metaheuristics

logojMetal

jMetalPy: Python version of jMetal

loseta jMetalSP

jMetalSP: Framework for Multi-Objective Big Data Optimization

Latest papers

  1. Zavala, Gustavo R.,. García-Nieto, J., Nebro, A.J. Qom—A New Hydrologic Prediction Model Enhanced with Multi-Objective Optimization . Applied Sciences, Vol. 10, 2020. DOI.

  2. 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 (In press). 2019. DOI.

  3. 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 (In press). 2019. DOI.

  4. Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser jMetalPy: A Python framework for multi-objective optimization with metaheuristics. Swarm and Evolutionary Computation (In press). 2019. DOI.

  5. Jesus Para, Javier del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera Jesus Para, Javier Del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera: Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. Engineering Applications of Artificial Intelligence, Vol. 82. June 2019. DOI.

  1. Antonio J. Nebro, Manuel Lóz-Ibánez, Cristóbal Barba-González, José García-Nieto. Automatic configuration of NSGA-II with jMetal and irace. GECCO 2019 (Companion). DOI.

  2. Eneko Osaba, Javier del Ser, Antonio J. Nebro, Ibai Lana, Miren Nekane Bilbao, Javier J. Sánchez Medina. Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs. ITSC 2018 DOI.

  3. A.J. Nebro, J.J. Durillo, J. García-Nieto, C. Barba-González, J. del Ser, C.A. Coello Coello, A. Benítez-Hidalgo, J.F. Aldana-Montes . Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation. PPSN 2018. LNCS Vol. 11101, pp: 298-310. September 2018. DOI.

  4. C. Barba-González, V. Ojalehto, J. García-Nieto, A.J. Nebro, K. Miettinen, J.F. Aldana-Montes . Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods. PPSN 2018. LNCS Vol. 11101, pp: 274-285. September 2018. Link.

  5. E. Osaba, J. del Ser, M.N. Bilbao, P. López-García, A.J. Nebro. Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics . International Conference on Bioinspired Methods and Their Applications (BIOMA 2018). LNCS Vol. 10835, pp: 192-210. May. 2018. Link.

  1. J. García Nieto, Esteban López-Camacho, M.J. García-Godoy , A.J. Nebro, J.F. Aldana-Montes Montes Multi-objective ligand-protein docking with particle swarm optimizers. Swarm and Evolutionary Computation, Vol. 44. February 2019. DOI.

  2. C. Barba-González, J. García Nieto, M.M. Roldán-García, I. Navas-Delgado, A.J. Nebro, J.F. Aldana Montes BIGOWL: Knowledge Centered Big Data Analytics. Expert Systems with Applications. Vol. 115. January 2019. DOI.

  3. A. Santiago, B. Dorronsoro, A.J. Nebro, J.J. Durillo, O. Castillo, H.J. Fraire A Novel Multi-Objective Evolutionary Algorithm with Fuzzy Logic Based Adaptive Selection of Operators: FAME. Information Sciences. January 2019. DOI.

  4. A.J. Nebro, A.B. Ruíz, C. Barba-González, J. García Nieto, M.M. Roldán-García, M. Luque, J.F. Aldana Montes. InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. Swarm and Evolutionary Computation, Vol. 40, pp: 184:195. June 2018. DOI.

  5. C. Barba-González, J. García Nieto, A.J. Nebro, J.J. Durillo, I. Navas-Delgado, J.F. Aldana Montes jMetalSP: A framework for dynamic multi-objective big data optimization. Applied Soft Computing. Vol. 69, pp:73-748. August 2018. DOI.

  6. C. Zambrano Vega, A.J. Nebro, J. García Nieto, J.F. Aldana Montes M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic. Bioinformatics. Vol 33, No 19, pp: 3011-3017. October 2017. DOI.

  7. C. Zambrano Vega, A.J. Nebro, J.J. Durillo, J. García Nieto, J.F. Aldana Montes Multiple Sequence Alignment with Multiobjective Metaheuristics. A Comparative Study. International Journal of Intelligent Systems. Online 16 February 2017. DOI.

  8. C. Zambrano Vega, A.J. Nebro, J. García Nieto, J.F. Aldana Montes Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment. Progress in Artificial Intelligence. Vol. 6, No. 3, pp:195-210. September 2017. DOI.

  9. María Jesús García-Godoy, Esteban López-Camacho, José García-Nieto, Antonio J. Nebro, José F. Aldana-Montes Molecular Docking Optimization in the Context of Multi-Drug Resistant and Sensitive EGFR Mutants. Molecules. Volume 21, Number 11 (2016). DOI.

  10. Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo, Carlos A. Coello Coello, Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems. Computer Journal. Volume 56, Number 6, pp: 777-792 (2016) DOI.

  11. Cristian Zambrano-Vega, Antonio J. Nebro and José F. Aldana-Montes, MO-Phylogenetics: a phylogenetic inference software tool with multi-objective evolutionary metaheuristics. Methods in Ecology and Evolution. In press. February 2016. DOI.

  12. Gustavo R. Zavala, Antonio J. Nebro, Francisco Luna and Carlos A. Coello Coello, Structural design using multi-objective metaheuristics. Comparative study and application to a real-world problem. Structural and Multidisciplinary Optimization. Volume 53, Issue 3, pp 545-566. March 2016. DOI.

  13. María Jesús García Godoy, Esteban López-Camacho, José García-Nieto, Antonio J. Nebro and José F. Aldana-Montes, Solving Molecular Docking Problems with Multi-Objective Metaheuristics. Molecules. Volume 20, Number 6, Pp: 10154-10183. June 2015 DOI.

  14. Esteban López-Camacho, María Jesús García Godoy, José García-Nieto, Antonio J. Nebro and José F. Aldana-Montes, Solving molecular flexible docking problems with metaheuristics: A comparative study . Applied Soft Computing. Volume 28, Pp. 379-393. March 2015. DOI.

  15. Esteban López-Camacho, María Jesús García Godoy, Antonio J. Nebro and José F. Aldana-Montes, MetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework. Bioinformatics. Volume 30, Issue 3, Pp. 437-438. 2014. DOI.

  16. Gustavo R. Zavala, Antonio J. Nebro, Juan J. Durillo, Francisco Luna Integrating a multi-objective optimization framework into a structural design software . Advances in Engineering Software. Volume 76, Pp. 161-438. 2014. DOI.

  17. G.R. Zavala, A.J. Nebro, F. Luna, C.A. Coello Coello A survey of multi-objective metaheuristics applied to structural optimization. Structural and Multidisciplinary Optimization. Volume 49, Issue 4, pp 537-558. April 2014. DOI.

  18. E.G. Talbi, M. Basseur, A.J. Nebro, E. Alba Multi-objective optimization using metaheuristics: non-standard algorithms. International Transactions in Operational Research, Volume 19, 283-305. 2012. DOI.

  19. B. Dorronsoro, G. Danoy, A.J. Nebro, P. Bouvry Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution . Computers & Operations Research. Volume 40, Issue 6, June 2013, Pages 1552-1563. DOI.

  20. F. Luna, G. Molina, A.J. Nebro, E. Alba An efficient local improvement operator for the multi-objective wireless sensor network deployment problem. Engineering Optimization, Volume 43, No 10, 1115-1139. 2011. DOI.

  21. J.J. Durillo, A.J. Nebro jMetal: A Java framework for multi-objective optimization. Advances in Engineering Software, Volume 42, 760-771. 2011. DOI. BIBTEX.

  22. Luna, F., Estébanez, C., León, C., Chaves-González, J.M., Nebro, A.J., Aler, R., Segura, C., Vega-Rodríguez, M.A., Alba, E., Valls, J.M., Miranda, G., Gómez-Pulido, J.A. Optimization algorithms for large-scale real-world instances of the frequency assignment problem. Soft Computing, Volume 15, Number 5, 975-990. 2011. DOI.

  23. J.J. Durillo, Y. Zhang, E. Alba, M. Harman, A.J. Nebro. A study of the bi-objective next release problem. Empirical Software Engineering, Volume 16, Number 1, 29-60. 2011. DOI.

  24. J.J. Durillo, A.J. Nebro, F. Luna, C.A. Coello Coello, E. Alba. Convergence speed in multi-objective metaheuristics: Efficiency criteria and empirical study International Journal for Numerical Methods in Engineering, 84 (11), pp. 1344-1375. December 2010. DOI. BIBTEX

  25. 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 Transactions on Evolutionary Computation. Vol. 14, No. 4 (August 2010), pp. 618-635. DOI. BIBTEX

  26. F. Luna, J.J. Durillo, A.J. Nebro, E. Alba. Evolutionary algorithms for solving the automatic cell planning problem: a survey. Engineering Optimization. Vol.42, No. 7 (July 2010), pp. 671-690. DOI. BIBTEX

  27. A.J. Nebro, J.J. Durillo, F. Luna, B. Dorronsoro, E. Alba. MOCell: A Cellular Genetic Algorithm for Multiobjective Optimization. International Journal of Intelligent Systems. Vol.24, No. 7 (July 2009), pp. 726-746. DOI. BIBTEX

  28. F. Luna, A.J. Nebro, E. Alba, J.J. Durillo. Solving large-scale real-world telecommunication problems using a grid-based genetic algorithm. Engineering Optimization. Vol.40, No. 11 (November 2008), pp. 1067-1084. DOI. BIBTEX

  29. A.J. Nebro, F. Luna, E. Alba, B. Dorronsoro, J.J. Durillo, A. Beham AbYSS: Adapting Scatter Search to Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. Vol. 12, No. 4 (August 2008), pp. 439-457. DOI. BIBTEX.

  30. A.J. Nebro, G. Luque, F. Luna, E. Alba. DNA Fragment Assembly Using a Grid Based Genetic Algorithm. Computers and Operations Research. Vol. 35, No. 9 (September 2008), pp. 2776-2790. DOI. BIBTEX.

  31. E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, P. Bouvry, L. Hogie. A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs. Computer Communications. Vol 30, Nº 4, pp. 685-697. February 2007. DOI. BIBTEX.

  32. A.J. Nebro, E. Alba, F. Luna. Multi-objective Optimization Using Grid Computing. Soft Computing, Vol. 11, No. 6. (April 2007), pp. 531-540. 2007. DOI. BIBTEX.

  33. F. Luna, A.J. Nebro, E. Alba. Observations in Using Grid-enabled Technologies for Solving Multi-objective Optimization Problems. Parallel Computing. Vol 32, pp. 377-393. June 2006. DOI. BIBTEX

  34. E. Alba, E., A.J. Nebro. Solving Optimization Problems with Grid-Enabled Technologies . ERCIM News 59:53-54, September 2004. BIBTEX

  35. E. Alba, F. Luna, A.J. Nebro Advances in Parallel Heterogeneous Genetic Algorithms for Continuous Optimization. International Journal of Applied Mathematics and Computer Science. Vol 14, Nº 3, pp. 101-117. 2004. BIBTEX

  36. E. Alba, F. Luna, A.J. Nebro, A.J., J.M. Troya Parallel heterogeneous genetic algorithms for continuous optimization. Parallel Computing. Vol 30, Nº 5-6, pp. 699-719. May/June 2004. BIBTEX

  37. E. Alba, A.J. Nebro, J.M. Troya Heterogeneous Computing and Parallel Genetic Algorithms. The Journal of Parallel and Distributed Computing. Vol 62, Nº 9, pp. 1362-1385. September 2002. BIBTEX

  38. A.J. Nebro, E. Pimentel, J.M. Troya Distributed Objects: An Approach based on Replication and Migration . The Journal of Object-Oriented Programming. Vol 12, Nº 1, pp. 22-27. March/April 1999. BIBTEX

  1. A.J. Nebro, J.J. Durillo, On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II. In R. Chion (Ed.): Nature-Inspired Algorithms for Optimization, pp. 435 - 456, Springer 2009. DOI.

  2. T. Weise, M. Zapf, R. Chiong, A.J. Nebro, Why is Optimization Difficult. In R. Chion (Ed.): Nature-Inspired Algorithms for Optimization, pp. 1 - 50, Springer 2009. DOI.

  3. F. Luna, E. Alba, A.J. Nebro, S. Pedraza, Search Intensification in Metaheuristics for Solving the Automatic Frequency Problem in GSM. In C. Cotta and J. van Hemert (Eds.): Recent Advances in Evolutionary Computation for Combinatorial Optimization. Comp., SCI 153, pp. 151 - 166, Springer 2008. DOI.

  4. A.J. Nebro, G. Luque, E. Alba, DNA fragment assembly using Grid systems. In El-Ghazali Talbi, Albert Y. Zomaya, eds.:Grid Computing for Bioinformatics and Computational Biology. Chapter 15, pp. 357-374. Wiley 2008.

  5. F. Luna, A.J. Nebro, E. Alba, Parallel evolutionary multiobjective optimization. In Nedjah, N., de Macedo, L., Alba, E., eds.: Parallel Evolutionary Computations. Volume 22 of Studies in Computational Intelligence. Chapter 2, pp. 33-56. Springer. 2006. DOI. BIBTEX

  6. A.J. Nebro, Alba, E., F. Luna. Observations in Using Grid Technologies for Multi-Objective Optimization . In Di Martino, B.; Dongarra, J.; Hoisie, A.; Yang, L.T., Zima, H. eds.: Engineering The Grid: Status and Perspective. Chapter 2, pp. 27-39. American Scientific Publishers. 2006. BIBTEX

  7. E. Alba, A. J. Nebro, New Technologies in Parallelism, E. Alba (ed.) Parallel Metaheuristics. A New Class of Algorithms, Chapter 3, pp. 63-78. Wiley. 2005. BIBTEX

  8. A. J. Nebro, F. Luna, E-G. Talbi, E. Alba, Parallel Multiobjective Optimization, E. Alba (ed.) Parellel Metaheuristics. A New Class of Algorithms, Chapter 16, pp. 371-394. Wiley. 2005. BIBTEX

  9. F. Luna, E. Alba, A. J. Nebro, Parallel Heterogenous Metaheuristics, E. Alba (ed.) Parallel Metaheuristics. A New Class of Algorithms, Chapter 17, pp. 395-422. Wiley. 2005. BIBTEX

  10. E. Alba, J. F. Chicano, F. Luna, G. Luque, A. J. Nebro, Advanced Evolutionary Algorithms for Training Neural Networks, S. Olariu, A. Y. Zomaya. (eds.) Handbook of Bioinspired Algorithms and Applications, Chapter 28, pp.453-467 2005. BIBTEX

  11. E. Alba, J. F. Chicano, C. Cotta, B. Dorronsoro, F. Luna, G. Luque, A. J. Nebro, Metaheurísticas Secuenciales y Paralelas para Optimización de Problemas Complejos , G. Joya, M. Atencia, A. Ochoa, S. Allende (eds.). Optimización Inteligente, Servicio de Publicaciones de la Universidad de Málaga pp. 185-214, 2004.

  1. A.J. Nebro, C. Barba-González, J. García-Nieto, J.A. Cordero, J.F.Aldana-Montes: Design and architecture of the jMetaISP framework . GECCO (Companion) 2017. DOI.

  2. C. Barba-González, J. García-Nieto, Antonio J. Nebro, J.F.Aldana-Montes: Multi-objective Big Data Optimization with jMetal and Spark . EMO 2017. DOI.

  3. J.A. Cordero, A.J. Nebro, C. Barba-González, J.J. Durillo, J. García-Nieto, I. Navas Delgado, J.F.Aldana-Montes: Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study . MOD 2016. DOI.

  4. J. García-Nieto, E. López-Camacho, M.J. García-Godoy, A.J. Nebro, J.J. Durillo, J.F. Aldana-Montes: A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking. ANTS Conference 2016. DOI.

  5. 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 . AlCoB 2016. DOI.

  6. Antonio J. Nebro, Juan J. Durillo, Matthieu Vergne: Redesigning the jMetal Multi-Objective Optimization Framework. GECCO (Companion) 2015. DOI.

  7. F. Luna, G.R. Zavala, A.J. Nebro, J.J. Durillo, C.A. Coello Coello: Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm . 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. DOI.

  8. A.J. Nebro, J.J. Durillo, C.A. Coello Coello: Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer. CEC 2013, pp: 3153-3160. June 2013. DOI.

  9. A.J. Nebro, J.J. Durillo, M. Machin, C.A. Coello Coello, B. Dorronsoro: A Study of the Combination of Variation Operators in the NSGA-II Algorithm. CAEPIA 2013: 269-278. September 2013. DOI.

  10. J.F. Chicano, F. Luna, A.J. Nebro, E. Alba: Using multi-objective metaheuristics to solve the software project scheduling problem . GECCO 2011, pp: 1915-1922. 2011. DOI.

  11. J.J. Durillo, Q. Zhang, A.J. Nebro, E. Alba: Distribution of Computational Effort in Parallel MOEA/D. LION 2011, pp: 488-5002. 2011. DOI.

  12. J.J. Durillo, A.J. Nebro, E. Alba The jMetal Framework for Multi-Objective Optimization: Design and Architecture. CEC 2010, pp: 4138-4325. July 2010. BIBTEX. DOI.

  13. A.J. Nebro, J.J. Durillo A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D. Learning and Intelligent Optimization (LION 4), pp: 303-317. January 2010. BIBTEX. DOI.

  14. J.J. Durillo, J. García-Nieto, A.J. Nebro, C.A. Coello Coello, F. Luna and E. Alba Multi-Objective Particle Swarm Optimizers: An Experimental Comparison. 5th International Conference, EMO 2009, pp: 495-509. April 2009. BIBTEX. DOI.

  15. J.J. Durillo, A.J. Nebro, F. Luna and E. Alba On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms. 5th International Conference, EMO 2009, pp: 183-197. April 2009. BIBTEX. DOI.

  16. C. Segura, A. Cervantes, A.J. Nebro, M.D. Jaraíz-Simón, E. Segredo, S. García, F. Luna, J.A. Gómez-Pulido, G. Miranda, C. Luque, E. Alba, M.A. Vega-Rodríguez, C. León and I.M. Galván Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. 5th International Conference, EMO 2009, pp: 305-319. April 2009. BIBTEX. DOI.

  17. A.J. Nebro, J.J. Durillo, J. García-Nieto, C.A. Coello Coello, F. Luna and E. Alba SMPSO: A New PSO-based Metaheuristic for Multi-objective Optimization. IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MCDM 2009), pp: 66-73. March 2009. BIBTEX. DOI.

  18. A.J. Nebro, J.J. Durillo, C.A. Coello Coello, F. Luna, E. Alba A Study of Convergence Speed in Multi-Objective Metaheuristics. PPSN X. LNCS, Vol. Volume 5199/2008, pp: 763-772. Dortmund, September 2008. BIBTEX. DOI.

  19. J.J. Durillo, A.J. Nebro, F. Luna, E. Alba Solving Three-Objective Optimization Problems Using a new Hybrid Cellular Genetic Algorithm. PPSN X. LNCS, Vol. Volume 5199/2008, pp: 661-670. Dortmund, September 2008. BIBTEX. DOI.

  20. J.J. Durillo, A.J. Nebro, C.A. Coello Coello, F. Luna, E. Alba A Comparative Study of the Effect of Parameter Scalability in Multi-Objective Metaheuristics. CEC'08. Hong Kong. June 2008. BIBTEX. DOI.

  21. J.J. Durillo, A.J. Nebro, F. Luna, E. Alba A Study of Master-Slave Approaches to Parallelize NSGA-II. 11th International Workshop on Nature Inspired Distributed Computing (NIDISC) 2008. BIBTEX. DOI

  22. F. Luna, C. Blum, E. Alba, A.J. Nebro ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation. London, England. July 2007. BIBTEX. DOI.

  23. A.J. Nebro, E. Alba, G. Molina, F. Chicano, F. Luna, J.J. Durillo Optimal antenna placement using a new multi-objective chc algorithm. GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation. London, England. July 2007 BIBTEX. DOI.

  24. B. Dorronsoro, D. Arias, F. Luna, A.J. Nebro, E. Alba A Grid-Based Hybrid Cellular Genetic Algorithm for Very Large Scale Instances of the CVRP. 2007 High Performance Computing & Simulation Conference (HPCS 2007). Prague, Czech Republic, June 2007. BIBTEX

  25. A.J. Nebro, J.J. Durillo, F. Luna, B. Dorronsoro, E. Alba Design Issues in a Multiobjective Cellular Genetic Algorithm. Evolutionary Multi-Criterion Optimization. 4th International Conference, EMO 2007. Sendai/Matsushima, Japan, March 2007. BIBTEX. DOI.

  26. F. Luna, E. Alba, A.J. Nebro, S. Pedraza Evolutionary Algorithms for Real-World Instances of the Automatic Frequency Planning Problem in GSM Networks. Seventh European Conference on Evolutionary Computation in Combinatorial Optimization (EVOCOP 2007). Gran Canaria, Spain, April 2007. DOI. BIBTEX

  27. E. Alba and A. Cervantes and J.A. Gómez and P. Isasi and M.D. Jaraíz and C. León and C. Luque and F. Luna and G. Miranda and A.J. Nebro and R. Pérez and C. Segura Metaheuristics approaches for optimal broadcasting design in metropolitan MANETs. Eurocast 2007. Gran Canaria, Spain, February 2007. BIBTEX. DOI.

  28. A.J. Nebro, J.J. Durillo, F. Luna, B. Dorronsoro, E. Alba A Cellular Genetic Algorithm for Multiobjective Optimization. Proceedings of NICSO 2006, pp. 25-36. Granada, Spain, June 2006. BIBTEX

  29. F. Luna, A.J. Nebro, B. Dorronsoro, E. Alba, P. Bouvry, L. Hogie Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search. EvoWorkshops 2006, LNCS 3907, pp. 255-266, 2006. BIBTEX. DOI.

  30. A.J. Nebro, F. Luna, E. Alba New Ideas in Applying Scatter Search to Multiobjective Optimization. Evolutionary Multi-Criterion Optimization: Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005. BIBTEX. DOI.

  31. E. Alba, P. Bouvry, B. Dorronsoro, F. Luna, A.J. Nebro A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs. Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Simposium (IPDPS) 2005 Workshop, p. 192b. April 2005, Denver, Colorado, USA. BIBTEX. DOI.

  32. E. Alba, F. Luna, A.J. Nebro Parallel Heterogeneous Genetic Algorithms for Continuous Optimization. IPDPS-NIDISC'03, Nize, p. 147, 2003. BIBTEX. DOI.

  33. A.J. Nebro, E. Alba, F. Luna, J.M. Troya NET as a Platform for Implementing Concurrent Objects. Euro-Par 2002 Parallel Processing. Paderborn, Germany. August 2002. BIBTEX. DOI.

  34. A.J. Nebro, E. Pimentel, J.M. Troya Evaluating a Multithreaded Runtime System for Concurrent Object-Oriented Languages. Second International Symposium, ISCOPE'98. Santa Fe, NM, (USA). December 1998. BIBTEX. DOI.

  35. Nebro, A. J., Pimentel, E.,Troya, J. M. Applying Distributed Shared Memory Techniques for Implementing Distributed Objects. ECOOP'97 Workshop on Object-Orientation and Operating Systems. Jyväskylä, Finlandia. 1997. DOI.

  36. Nebro, A. J., Pimentel, E.,Troya, J. M. Integrating an Entry Consistency Memory Model and Concurrent Object-Oriented Programming . Euro-Par'97 Parallel Processing (Proceedings of the Third International Euro-Par Conference). Passau, Alemania. August, 1997. DOI.

  37. Cotta, C., Aldana, J. F., Nebro, A. J., Troya, J. M. Hybridizing Genetic Algorithms with Branch and Bound Techniques for the Resolution of the TSP. Artificial Neural Nets and Genetic Algorithms (Proceedings of the Second International Conference on Artificial Neural Nets and Genetic Algorithms). Springer-Verlag New York. 1995.