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Juan José Durillo

Juan Jose Durillo Barrionuevo

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affiliation: Leibniz Supercomputing Centre, Germany

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Journal Articles

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2023
[j18]
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José F. Aldana-Martín, Juan José Durillo, Antonio J. Nebro:
Evolver: Meta-optimizing multi-objective metaheuristics. SoftwareX 24: 101551 (2023)
2020
[j17]
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Ennio Torre, Juan José Durillo, Vincenzo De Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan:
A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. Inf. Softw. Technol. 128: 106390 (2020)
[j16]
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Thanh-Phuong Pham, Juan José Durillo, Thomas Fahringer:
Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach. IEEE Trans. Cloud Comput. 8(1): 256-268 (2020)
2019
[j15]
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Alejandro Santiago Pineda, Bernabé Dorronsoro, Antonio J. Nebro, Juan José Durillo, Oscar Castillo, Héctor J. Fraire H.:
A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME. Inf. Sci. 471: 233-251 (2019)
[j14]
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Juan José Durillo, Philipp Gschwandtner, Klaus Kofler, Thomas Fahringer:
Multi-Objective region-Aware optimization of parallel programs. Parallel Comput. 83: 3-21 (2019)
2018
[j13]
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Cristóbal Barba-González, José García-Nieto, Antonio J. Nebro, José A. Cordero, Juan José Durillo, Ismael Navas-Delgado, José Francisco Aldana Montes:
jMetalSP: A framework for dynamic multi-objective big data optimization. Appl. Soft Comput. 69: 737-748 (2018)
2017
[j12]
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Cristian Zambrano-Vega, Antonio J. Nebro, Juan José Durillo, José García-Nieto, José Francisco Aldana Montes:
Multiple Sequence Alignment with Multiobjective Metaheuristics. A Comparative Study. Int. J. Intell. Syst. 32(8): 843-861 (2017)
2016
[j11]
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Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan José Durillo, Carlos A. Coello Coello:
Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems. Comput. J. 59(6): 777-792 (2016)
2015
[j10]
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Juan José Durillo, Radu Prodan, Jorge G. Barbosa:
Pareto tradeoff scheduling of workflows on federated commercial Clouds. Simul. Model. Pract. Theory 58: 95-111 (2015)
2014
[j9]
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Gustavo R. Zavala, Antonio J. Nebro, Juan José Durillo, Francisco Luna:
Integrating a multi-objective optimization framework into a structural design software. Adv. Eng. Softw. 76: 161-170 (2014)
[j8]
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Juan José Durillo, Radu Prodan:
Multi-objective workflow scheduling in Amazon EC2. Clust. Comput. 17(2): 169-189 (2014)
[j7]
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Juan José Durillo, Vlad Nae, Radu Prodan:
Multi-objective energy-efficient workflow scheduling using list-based heuristics. Future Gener. Comput. Syst. 36: 221-236 (2014)
[j6]
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Juan José Durillo, Thomas Fahringer:
From single- to multi-objective auto-tuning of programs: Advantages and implications. Sci. Program. 22(4): 285-297 (2014)
2011
[j5]
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Juan José Durillo, Antonio J. Nebro:
jMetal: A Java framework for multi-objective optimization. Adv. Eng. Softw. 42(10): 760-771 (2011)
[j4]
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Juan José Durillo, Yuanyuan Zhang, Enrique Alba, Mark Harman, Antonio J. Nebro:
A study of the bi-objective next release problem. Empir. Softw. Eng. 16(1): 29-60 (2011)
2010
[j3]
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Juan José Durillo, Antonio J. Nebro, Carlos A. Coello Coello, José García-Nieto, Francisco Luna, Enrique Alba:
A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems. IEEE Trans. Evol. Comput. 14(4): 618-635 (2010)
2009
[j2]
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Antonio José Nebro, Juan José Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba:
MOCell: A cellular genetic algorithm for multiobjective optimization. Int. J. Intell. Syst. 24(7): 726-746 (2009)
2008
[j1]
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Antonio J. Nebro, Francisco Luna, Enrique Alba, Bernabé Dorronsoro, Juan José Durillo, Andreas Beham:
AbYSS: Adapting Scatter Search to Multiobjective Optimization. IEEE Trans. Evol. Comput. 12(4): 439-457 (2008)

Conference and Workshop Papers

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2023
[c36]
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Nina Mujkanovic, Juan José Durillo, Nicolay Hammer, Tiziano Müller:
Survey of adaptive containerization architectures for HPC. SC Workshops 2023: 165-176
2019
[c35]
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Radu Prodan, Ennio Torre, Juan José Durillo, Gagangeet Singh Aujla, Neeraj Kumar, Hamid Mohammadi Fard, Shajulin Benedict:
Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers. SEAA 2019: 92-99
2018
[c34]
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  - conf/idc/Benitez-Hidalgo18
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Antonio Benítez-Hidalgo, Antonio J. Nebro, Juan José Durillo, José García-Nieto, Esteban López-Camacho, Cristóbal Barba-González, José Francisco Aldana Montes:
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework. IDC 2018: 50-60
[c33]
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Antonio J. Nebro, Juan José Durillo, José García-Nieto, Cristóbal Barba-González, Javier Del Ser, Carlos A. Coello Coello, Antonio Benítez-Hidalgo, José Francisco Aldana Montes:
Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation. PPSN (1) 2018: 298-310
2017
[c32]
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Klaus Kofler, Juan José Durillo, Philipp Gschwandtner, Thomas Fahringer:
A Region-Aware Multi-Objective Auto-Tuner for Parallel Programs. ICPP Workshops 2017: 190-199
[c31]
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Biagio Cosenza, Juan José Durillo, Stefano Ermon, Ben H. H. Juurlink:
Autotuning Stencil Computations with Structural Ordinal Regression Learning. IPDPS 2017: 287-296
[c30]
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Biagio Cosenza, Juan José Durillo, Stefano Ermon, Ben H. H. Juurlink:
Stencil Autotuning with Ordinal Regression: Extended Abstract. SCOPES 2017: 72-75
2016
[c29]
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José García-Nieto, Esteban López-Camacho, María Jesús García-Godoy, Antonio J. Nebro, Juan José Durillo, José Francisco Aldana Montes:
A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking. ANTS Conference 2016: 40-52
[c28]
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José A. Cordero, Antonio J. Nebro, Cristóbal Barba-González, Juan José Durillo, José García-Nieto, Ismael Navas-Delgado, José Francisco Aldana Montes:
Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study. MOD 2016: 106-117
2015
[c27]
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  - conf/gecco/NebroDV15
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Antonio J. Nebro, Juan José Durillo, Matthieu Vergne:
Redesigning the jMetal Multi-Objective Optimization Framework. GECCO (Companion) 2015: 1093-1100
[c26]
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  - conf/ppam/AyusoDKSF15
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Luis Ayuso, Juan José Durillo, Bernhard Kornberger, Martin Schifko, Thomas Fahringer:
Parallelization and Optimization of a CAD Model Processing Tool from the Automotive Industry to Distributed Memory Parallel Computers. PPAM (1) 2015: 377-388
2014
[c25]
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Philipp Gschwandtner, Juan José Durillo, Thomas Fahringer:
Multi-Objective Auto-Tuning with Insieme: Optimization and Trade-Off Analysis for Time, Energy and Resource Usage. Euro-Par 2014: 87-98
[c24]
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Juan José Durillo, Radu Prodan:
Workflow Scheduling on Federated Clouds. Euro-Par 2014: 318-329
2013
[c23]
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Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan José Durillo, Carlos A. Coello Coello:
Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm. 3PGCIC 2013: 600-605
[c22]
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  - conf/caepia/NebroDNCD13
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Antonio J. Nebro, Juan José Durillo, Mirialys Machin Navas, Carlos A. Coello Coello, Bernabé Dorronsoro:
A Study of the Combination of Variation Operators in the NSGA-II Algorithm. CAEPIA 2013: 269-278
[c21]
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Juan José Durillo, Vlad Nae, Radu Prodan:
Multi-objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff. CCGRID 2013: 203-210
[c20]
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Antonio J. Nebro, Juan José Durillo, Carlos Artemio Coello Coello:
Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer. IEEE Congress on Evolutionary Computation 2013: 3153-3160
[c19]
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Juan José Durillo, Radu Prodan, Weicheng Huang:
Workflow Scheduling in Amazon EC2. Euro-Par Workshops 2013: 374-383
2012
[c18]
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Juanlu J. Laredo, Bernabé Dorronsoro, Johnatan E. Pecero, Pascal Bouvry, Juan José Durillo, Carlos M. Fernandes:
Designing a Self-Organized Approach for Scheduling Bag-of-Tasks. 3PGCIC 2012: 315-320
[c17]
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Hamid Mohammadi Fard, Radu Prodan, Juan Jose Durillo Barrionuevo, Thomas Fahringer:
A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments. CCGRID 2012: 300-309
[c16]
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  - conf/cloudcom/BarrionuevoFP12
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Juan Jose Durillo Barrionuevo, Hamid Mohammadi Fard, Radu Prodan:
MOHEFT: A multi-objective list-based method for workflow scheduling. CloudCom 2012: 185-192
[c15]
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  - conf/sc/JordanTBPGFM12
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Herbert Jordan, Peter Thoman, Juan Jose Durillo Barrionuevo, Simone Pellegrini, Philipp Gschwandtner, Thomas Fahringer, Hans Moritsch:
A multi-objective auto-tuning framework for parallel codes. SC 2012: 10
2011
[c14]
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  - conf/lion/DurilloZNA11
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Juan José Durillo, Qingfu Zhang, Antonio J. Nebro, Enrique Alba:
Distribution of Computational Effort in Parallel MOEA/D. LION 2011: 488-502
2010
[c13]
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Juan José Durillo, Antonio J. Nebro, Enrique Alba:
The jMetal framework for multi-objective optimization: Design and architecture. IEEE Congress on Evolutionary Computation 2010: 1-8
[c12]
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  - conf/gecco/ZhangADEH10
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Yuanyuan Zhang, Enrique Alba, Juan José Durillo, Sigrid Eldh, Mark Harman:
Today/future importance analysis. GECCO 2010: 1357-1364
[c11]
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  - conf/lion/NebroD10
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Antonio J. Nebro, Juan José Durillo:
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D. LION 2010: 303-317
2009
[c10]
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  - conf/cimcdm/NebroDGCLA09
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Antonio J. Nebro, Juan José Durillo, José García-Nieto, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
SMPSO: A new PSO-based metaheuristic for multi-objective optimization. MCDM 2009: 66-73
[c9]
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Juan José Durillo, Antonio J. Nebro, Francisco Luna, Enrique Alba:
On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms. EMO 2009: 183-197
[c8]
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Juan José Durillo, José García-Nieto, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison. EMO 2009: 495-509
[c7]
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  - conf/lssc/LunaDNA09
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Francisco Luna, Juan José Durillo, Antonio J. Nebro, Enrique Alba:
A Scatter Search Approach for Solving the Automatic Cell Planning Problem. LSSC 2009: 334-342
2008
[c6]
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Juan José Durillo, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
A comparative study of the effect of parameter scalability in multi-objective metaheuristics. IEEE Congress on Evolutionary Computation 2008: 1893-1900
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Juan José Durillo, Antonio J. Nebro, Francisco Luna, Enrique Alba:
A study of master-slave approaches to parallelize NSGA-II. IPDPS 2008: 1-8
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Juan José Durillo, Antonio J. Nebro, Francisco Luna, Enrique Alba:
Solving Three-Objective Optimization Problems Using a New Hybrid Cellular Genetic Algorithm. PPSN 2008: 661-670
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Antonio J. Nebro, Juan José Durillo, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
A Study of Convergence Speed in Multi-objective Metaheuristics. PPSN 2008: 763-772
2007
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  - conf/emo/NebroDLDA06
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Antonio J. Nebro, Juan José Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba:
Design Issues in a Multiobjective Cellular Genetic Algorithm. EMO 2007: 126-140
[c1]
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  - conf/gecco/NebroAMCLD07
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Antonio J. Nebro, Enrique Alba, Guillermo Molina, Francisco Chicano, Francisco Luna, Juan José Durillo:
Optimal antenna placement using a new multi-objective chc algorithm. GECCO 2007: 876-883

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2010
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  - series/sci/DurilloNGA10
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Juan José Durillo, Antonio J. Nebro, José García-Nieto, Enrique Alba:
On the Velocity Update in Multi-Objective Particle Swarm Optimizers. Advances in Multi-Objective Nature Inspired Computing 2010: 45-62
2009
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Antonio J. Nebro, Juan José Durillo:
On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II. Nature-Inspired Algorithms for Optimisation 2009: 435-456

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2016
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  - conf/ica3pp/2016w
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Jesús Carretero, Javier García Blas, Victor Gergel, Vladimir V. Voevodin, Iosif B. Meyerov, Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Pedro Alonso, Juan José Durillo, José Daniel García Sánchez, Alexey L. Lastovetsky, Fabrizio Marozzo, Qin Liu, Md. Zakirul Alam Bhuiyan, Karl Fürlinger, Josef Weidendorfer, José Gracia:
Algorithms and Architectures for Parallel Processing - ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings. Lecture Notes in Computer Science 10049, Springer 2016, ISBN 978-3-319-49955-0 [contents]

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2023
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Tiziano Müller, Nina Mujkanovic, Juan José Durillo, Nicolay Hammer:
Survey of adaptive containerization architectures for HPC. CoRR abs/2308.12147 (2023)

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