Publications

  1. Gustavo R. Zavala and Antonio J. Nebro and Juan J. Durillo and Francisco Luna. Integrating a Multi-Objective Optimization Framework into a Structural Design Software. Accepted for publication in Advances in Engineering Software. To appear
  2. Juan J. Durillo and Thomas Fahringer. From single- to multi-objective auto-tuning of programs: Advantages and implications. Accepted for publication in Scientific Programming Journal. To appear
  3. Philipp Gschwandtner and Juan J. Durillo and Thomas Fahringer. Multi-Objective Auto-Tuning with Insieme: Optimization and Trade-Off Analysis for Time, Energy and Resource Usage. Euro-Par 2014. Porto, Portugal
  4. Juan J. Durillo and Radu Prodan. Scientific Workflow Scheduling on Federated Clouds. Euro-Par 2014. Porto, Portugal
  5. Juan J. Durillo, and Radu Prodan. Multi-Objective Workflow Scheduling in Amazon EC2. Accepted for publication in Cluster Computing Journal
  6. Juan J. Durillo, Vlad Nae, and Radu Prodan. Multi-Objective Energy-Efficient Workflow Scheduling using List-based Heuristics. Accepted for publication in Future Generation of Computer Systems Journal.
  7. Francisco Luna, Gustavo Zavala, Antonio J. Nebro, Juan J. Durillo and Carlos Coello. Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm. Accepted for publication in the 2-nd International Workshop on Soft Computing Techniques in Cluster and Grid Computing Systems
  8. Juan J. Durillo and Radu Prodan. Workflow Scheduling in Amazon EC2. Accepted for publication in First Workshop on Large Scale Distributed Virtual Environments on Clouds and P2P.
  9. Antonio J. Nebro, Juan J. Durillo, Mirialys Machín, Carlos A. Coello Coello and Bernabé Dorronsoro. A Study of the Combination of Variation Operators in the NSGA-II Algorithm. Accepted for publication in the CAEPIA 2013-MAEB conference.
  10. A. Nebro, J. Durillo, and C.Coello. Analysis of Leader Selection Strategies in a Multi-Objective Particle Swarm Optimizer. Accepted for publication in the IEEE Congress on Evolutionary Computation 2013.
  11. J.J. Durillo, V. Nae, and R. Prodan. Multi-Objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff. Accepted for publication in The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (May 2013).
  12. J.J. Durillo, H.M. Fard, and R. Prodan. Moheft: A multi-objective list-based method for workflow scheduling. In Cloud Computing and Technology and Science, 4th IEEE International Conference on, pages 185–192. IEEE Computer Society Press, December 2012.
  13. H. Jordan, P. Thoman, J.J. Durillo, S. Pellegrini, P. Gschwandtner, T. Fahringer, and H. Moritsch. A multi-objective auto-tuning framework for parallel codes. In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pages 10:1– 10:12. IEEE Computer Society Press, November 2012.
  14. J.J. Laredo, B. Dorronsoro, J. Pecero, P. Bouvry, J.J. Durillo, and C. Fernandes. Designing a self-organized approach for scheduling bag-of-tasks. In P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2012 Seventh International Conference on, pages 315–320. IEEE Computer Society Press, November 2012.
  15. H. M. Fard, R. Prodan, J.J.Durillo, and T. Fahringer. A multi-objective approach for workflow scheduling in heterogeneous environments. In Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on, pages 300–309. IEEE Computer Society Press, May 2012.
  16. J.J. Durillo, Q. Zhang, A. J. Nebro, and E. Alba. Distribution of computational effort in parallel moea/d. In C.A. Coello Coello, editor, Learning and Intelligent Optimization. 5th International Conference, LION 5, volume 6683 of LNCS, pages 488–502. Springer, January 2011.
  17. J. J. Durillo, Y. Zhang, E. Alba, M. Harman, and A. J. Nebro. A study of the bi-objective next release problem. Empirical Software Engineering, 16(1):29–60, 2011. 1
  18. J.J. Durillo and A. J. Nebro. jmetal: A java framework for multi-objective optimization. Advances in Engineering Software, 42(10):760–771, 2011.
  19. J.J. Durillo, A.J. Nebro, and E. Alba. The jmetal framework for multiobjective optimization: Design and architecture. In Evolutionary Computation (CEC), 2010 IEEE Congress on, pages 4138–4325. IEEE Computer Society Press, July 2010.
  20. F. Luna, J. J. Durillo, A. J. Nebro, and E. Alba. A scatter search approach for solving the automatic cell planning problem. In I. Lirkov, S. Margenov, and J. Wasniewski, editors, Large-Scale Scientific Computing. 7th International Conference, LSSC 2009, volume 5910 of LNCS, pages 334–342. Springer, June 2010.
  21. A. J. Nebro and J.J. Durillo. Study of the parallelization of the multi-objective metaheuristics moea/d. In C. Blum and R. Battiti, editors, Learning and Intelligent Optimization. 4th International Conference, LION 4, volume 6073 of LNCS, pages 303–317. Springer, January 2010.
  22. J. J. Durillo, A. J. Nebro, C. A. Coello Coello, J. García-Nieto, F. Luna, and E. Alba. A study of multiobjective metaheuristics when solving parameter scalable problems. IEEE Transactions on Evolutionary Computation, 14(4):618–635, 2010.
  23. J. J. Durillo, A. J. Nebro, J. Garc&ıacutea-Nieto, and E. Alba. On the Velocity Update in Multi-objective Particle Swarm Optimizers, volume 272 of Studies in Computational Intelligence, pages 45–62. Springer, 2010.
  24. J. J. Durillo, A. J. Nebro, F. Luna, and E. Alba. jmetal: Un framework para optimización multi-objetivo. In 7th Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), 2010.
  25. J. J. Durillo, A. J. Nebro, F. Luna, C. A. Coello Coello, and E. Alba. Convergence speed in multi-objective metaheuristics: Efficiency criteria and empirical study. International Journal for Numerical Methods in Engineering, 84(11):1344–1375, 2010.
  26. J. J. Durillo, B. Dorronsoro A. J. Nebro, P. Bouvry, and E. Alba. Evaluación de variantes de cellde: Un algoritmo celular multi-objetivo con evolución diferencial. In 7th Congreso Espanñol de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB 2010, 2010.
  27. F. Luna, J. J. Durillo, A. J. Nebro, and E. Alba. Evolutionary algorithms for solving the automatic cell planning problem: a survey. Engineering Optimization, 42(7):671–690, 2010.
  28. Y. Zhang, E. Alba, J.J. Durillo, S. Eldh, and M. Harman. Today/future importance analysis. In Franz Rothlauf, editor, Genetic and Evolutionary Computation Conference, GECCO 2009, pages 1357–1364. ACM press, July 2009.
  29. J. J. Durillo, Y. Zhang, E. Alba, and A. J. Nebro. A study of the multiobjective next release problem. In 1st International Symposium on Search Based Software Engineering, pages 49–58. IEEE Computer Society Press, May 2009.
  30. 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. In Computational intelligence in miulti-criteria decision-making, 2009. MCDM 09. IEEE Symposium on, pages 66–73. IEEE Computer Society Press, April 2009.
  31. 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. In C.M. Fonseca, X. Gandibleux, J.K. Hao, and M. Sevaux, editors, Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, volume 5467 of LNCS, pages 495–509. Springer, March 2009.
  32. 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. In C.M. Fonseca, X. Gandibleux, J.K. Hao, and M. Sevaux, editors, Evolutionary Multi-Criterion Optimization. 5th International Conference, EMO 2009, volume 5467 of LNCS, pages 183–197. Springer, March 2009.
  33. J. J. Durillo, A. J. Nebro, F. Luna, and E. Alba. Un estudio de la aplicación del esquema de selección por estado estacionario en optimización multi-objetivo. In 6th Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB 2009, pages 587–594, 2009.
  34. A. J. Nebro and J. J. Durillo. On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II, volume 193 of Studies in Computational Intelligence, pages 435–456. Springer, 2009.
  35. A. J. Nebro, J. J. Durillo, F. Luna, B. Dorronsoro, and E. Alba. Mocell: A cellular genetic algorithm for multiobjective optimization. International Journal of Intelligent Systems, 24(7):726–746, 2009.
  36. J. J. Durillo, A. J. Nebro, F. Luna, and E. Alba. Solving three-objective optimization problems using a new hybrid cellular genetic algorithm. In G. Rudolph, T. Jansen, S.M. Lucas, C. Poloni, and N. Beume, editors, Parallel Problem Solving from Nature PPSN X, volume 5199 of LNCS, pages 661–670. Springer, September 2008.
  37. A. J. Nebro, J. J. Durillo, C.A. Coello Coello, F. Luna, and E. Alba. A study of convergence speed in multi-objective metaheuristics. In G. Rudolph, T. Jansen, S.M. Lucas, C. Poloni, and N. Beume, editors, Parallel Problem Solving from Nature PPSN X, volume 5199 of LNCS, pages 763–772. Springer, September 2008.
  38. J. J. Durillo, A. J. Nebro, C. A. Coello Coello, F. Luna, and E. Alba. A comparative study of the effect of parameter scalability in multi-objective metaheuristics. In Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on, pages 1893–1900. IEEE Computer Society Press, July 2008.
  39. J. J. Durillo, A. J. Nebro, F. Luna, and E. Alba. A study of master-slave approaches to parallelize NSGA-II. In Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on, pages 1–8. IEEE Computer Society Press, May 2008.
  40. A. J. Nebro, J. J. Durillo, F. Luna, and E. Alba. Evaluating New Advanced Multiobjective Metaheuristics. Wiley, May 2008.
  41. F. Luna, Antonio J. Nebro, E. Alba, and J. J. Durillo. Solving large-scale real-world telecommunication problems using a grid-based genetic algorithm. Engineering Optimization, 40(11):1067–1084, 2008.
  42. A. J. Nebro, F. Luna, E. Alba, B. Dorronsoro, J. J. Durillo, and A. Beham. Abyss: Adapting scatter search to multiobjective optimization. IEEE Transactions on Evolutionary Computation, 12(4):439–457, 2008.
  43. A. J. Nebro, E. Alba, G. Molina, F. Chicano, F. Luna, and J. J. Durillo. Optimal antenna placement using a new multi-objective CHC algorithm. In Hod Lipson, editor, Genetic and Evolutionary Computation Conference, GECCO 2007, pages 876–883. ACM press, July 2007.
  44. A. J. Nebro, J. J. Durillo, F. Luna, B. Dorronsoro, and E. Alba. Design issues in a multiobjective cellular genetic algorithm. In S. Obayashi, K. Deb, C. Poloni, T. Hiroyasu, and T. Murata, editors, Evolutionary Multi-Criterion Optimization. 4th International Conference EMO 2007, volume 4403 of LNCS, pages 126–140. Springer, March 2007.
  45. A. J. Nebro, F. Luna, B. Dorronsoro, and J. J. Durillo. Un algoritmo multiobjetivo basado en bsqueda dispersa. In 5th Congreso Espan ̃ol de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB 2007, pages 175–182, 2007. 4
  46. J. J. Durillo, A. J. Nebro, F. Luna, B. Dorronsoro, and E. Alba. jMetal: A java framework for developing multi-objective optimization metaheuristics. Technical Report ITI-2006-10, Departamento de Lenguajes y Ciencias de la Computación, University of Málaga, E.T.S.I. Informática, Campus de Teatinos, 2006.
  47. A. J. Nebro, J. J. Durillo, F. Luna, B. Dorronsoro, and E. Alba. A cellular genetic algorithm for multiobjective optimization. In D. A. Pelta and N. Krasnogor, editors, Workshop on Nature Inspired Cooperative Strategies for Optimization, NICSO 2006, pages 25–36, 2006.