Design Issues in a Multiobjective Cellular Genetic Algorithm. - Antonio J. Nebro; Juan José Durillo; Francisco Luna 001; Bernabé Dorronsoro; Enrique Alba 001 (EMO, 2007)

Optimal antenna placement using a new multi-objective chc algorithm. - Antonio J. Nebro; Enrique Alba 001; Guillermo Molina; Francisco Chicano; Francisco Luna 001; Juan José Durillo (GECCO, 2007)

A comparative study of the effect of parameter scalability in multi-objective metaheuristics. - Juan José Durillo; Antonio J. Nebro; Carlos A. Coello Coello; Francisco Luna 001; Enrique Alba 001 (IEEE Congress on Evolutionary Computation, 2008)

A study of master-slave approaches to parallelize NSGA-II. - Juan José Durillo; Antonio J. Nebro; Francisco Luna 001; Enrique Alba 001 (IPDPS, 2008)

Solving Three-Objective Optimization Problems Using a New Hybrid Cellular Genetic Algorithm. - Juan José Durillo; Antonio J. Nebro; Francisco Luna 001; Enrique Alba 001 (PPSN, 2008)

A Study of Convergence Speed in Multi-objective Metaheuristics. - Antonio J. Nebro; Juan José Durillo; Carlos A. Coello Coello; Francisco Luna 001; Enrique Alba 001 (PPSN, 2008)

AbYSS: Adapting Scatter Search to Multiobjective Optimization. - Antonio J. Nebro; Francisco Luna 001; Enrique Alba 001; Bernabé Dorronsoro; Juan José Durillo; Andreas Beham (IEEE Trans. Evol. Comput., 2008)

SMPSO: A new PSO-based metaheuristic for multi-objective optimization. - Antonio J. Nebro; Juan José Durillo; José García-Nieto; Carlos A. Coello Coello; Francisco Luna 001; Enrique Alba 001 (MCDM, 2009)

Multi-Objective Particle Swarm Optimizers: An Experimental Comparison. - Juan José Durillo; José García-Nieto; Antonio J. Nebro; Carlos A. Coello Coello; Francisco Luna 001; Enrique Alba 001 (EMO, 2009)

On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms. - Juan José Durillo; Antonio J. Nebro; Francisco Luna 001; Enrique Alba 001 (EMO, 2009)

A Scatter Search Approach for Solving the Automatic Cell Planning Problem. - Francisco Luna 001; Juan José Durillo; Antonio J. Nebro; Enrique Alba 001 (LSSC, 2009)

MOCell: A cellular genetic algorithm for multiobjective optimization. - Antonio José Nebro; Juan José Durillo; Francisco Luna 001; Bernabé Dorronsoro; Enrique Alba 001 (Int. J. Intell. Syst., 2009)

On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II. - Antonio J. Nebro; Juan José Durillo (Nature-Inspired Algorithms for Optimisation, 2009)

The jMetal framework for multi-objective optimization: Design and architecture. - Juan José Durillo; Antonio J. Nebro; Enrique Alba 001 (IEEE Congress on Evolutionary Computation, 2010)

Today/future importance analysis. - Yuanyuan Zhang 003; Enrique Alba 001; Juan José Durillo; Sigrid Eldh; Mark Harman (GECCO, 2010)

A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D. - Antonio J. Nebro; Juan José Durillo (LION, 2010)

A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems. - Juan José Durillo; Antonio J. Nebro; Carlos A. Coello Coello; José García-Nieto; Francisco Luna 001; Enrique Alba 001 (IEEE Trans. Evol. Comput., 2010)

On the Velocity Update in Multi-Objective Particle Swarm Optimizers. - Juan José Durillo; Antonio J. Nebro; José García-Nieto; Enrique Alba 001 (Advances in Multi-Objective Nature Inspired Computing, 2010)

Distribution of Computational Effort in Parallel MOEA/D. - Juan José Durillo; Qingfu Zhang 001; Antonio J. Nebro; Enrique Alba 001 (LION, 2011)

jMetal: A Java framework for multi-objective optimization. - Juan José Durillo; Antonio J. Nebro (Adv. Eng. Softw., 2011)

A study of the bi-objective next release problem. - Juan José Durillo; Yuanyuan Zhang 003; Enrique Alba 001; Mark Harman; Antonio J. Nebro (Empir. Softw. Eng., 2011)

Designing a Self-Organized Approach for Scheduling Bag-of-Tasks. - Juanlu J. Laredo; Bernabé Dorronsoro; Johnatan E. Pecero; Pascal Bouvry; Juan José Durillo; Carlos M. Fernandes 001 (3PGCIC, 2012)

A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments. - Hamid Mohammadi Fard; Radu Prodan; Juan Jose Durillo Barrionuevo; Thomas Fahringer (CCGRID, 2012)

MOHEFT: A multi-objective list-based method for workflow scheduling. - Juan Jose Durillo Barrionuevo; Hamid Mohammadi Fard; Radu Prodan (CloudCom, 2012)

A multi-objective auto-tuning framework for parallel codes. - Herbert Jordan; Peter Thoman; Juan Jose Durillo Barrionuevo; Simone Pellegrini; Philipp Gschwandtner; Thomas Fahringer; Hans Moritsch (SC, 2012)

Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm. - Francisco Luna 001; Gustavo R. Zavala; Antonio J. Nebro; Juan José Durillo; Carlos A. Coello Coello (3PGCIC, 2013)

A Study of the Combination of Variation Operators in the NSGA-II Algorithm. - Antonio J. Nebro; Juan José Durillo; Mirialys Machin Navas; Carlos A. Coello Coello; Bernabé Dorronsoro (CAEPIA, 2013)

Multi-objective Workflow Scheduling: An Analysis of the Energy Efficiency and Makespan Tradeoff. - Juan José Durillo; Vlad Nae; Radu Prodan (CCGRID, 2013)

Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer. - Antonio J. Nebro; Juan José Durillo; Carlos Artemio Coello Coello (IEEE Congress on Evolutionary Computation, 2013)

Workflow Scheduling in Amazon EC2. - Juan José Durillo; Radu Prodan; Weicheng Huang (Euro-Par Workshops, 2013)

Workflow Scheduling on Federated Clouds. - Juan José Durillo; Radu Prodan (Euro-Par, 2014)

Multi-Objective Auto-Tuning with Insieme: Optimization and Trade-Off Analysis for Time, Energy and Resource Usage. - Philipp Gschwandtner; Juan José Durillo; Thomas Fahringer (Euro-Par, 2014)

Integrating a multi-objective optimization framework into a structural design software. - Gustavo R. Zavala; Antonio J. Nebro; Juan José Durillo; Francisco Luna 001 (Adv. Eng. Softw., 2014)

Multi-objective workflow scheduling in Amazon EC2. - Juan José Durillo; Radu Prodan (Clust. Comput., 2014)

Multi-objective energy-efficient workflow scheduling using list-based heuristics. - Juan José Durillo; Vlad Nae; Radu Prodan (Future Gener. Comput. Syst., 2014)

From single- to multi-objective auto-tuning of programs: Advantages and implications. - Juan José Durillo; Thomas Fahringer (Sci. Program., 2014)

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

Parallelization and Optimization of a CAD Model Processing Tool from the Automotive Industry to Distributed Memory Parallel Computers. - Luis Ayuso; Juan José Durillo; Bernhard Kornberger; Martin Schifko; Thomas Fahringer (PPAM (1), 2015)

Pareto tradeoff scheduling of workflows on federated commercial Clouds. - Juan José Durillo; Radu Prodan; Jorge G. Barbosa (Simul. Model. Pract. Theory, 2015)

A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking. - José García-Nieto; Esteban López-Camacho; María Jesús García-Godoy; Antonio J. Nebro; Juan José Durillo; José Francisco Aldana Montes (ANTS Conference, 2016)

Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study. - José A. Cordero; Antonio J. Nebro; Cristóbal Barba-González; Juan José Durillo; José García-Nieto; Ismael Navas-Delgado; José Francisco Aldana Montes (MOD, 2016)

Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems. - Francisco Luna 001; Gustavo R. Zavala; Antonio J. Nebro; Juan José Durillo; Carlos A. Coello Coello (Comput. J., 2016)

A Region-Aware Multi-Objective Auto-Tuner for Parallel Programs. - Klaus Kofler; Juan José Durillo; Philipp Gschwandtner; Thomas Fahringer (ICPP Workshops, 2017)

Autotuning Stencil Computations with Structural Ordinal Regression Learning. - Biagio Cosenza; Juan José Durillo; Stefano Ermon; Ben H. H. Juurlink (IPDPS, 2017)

Stencil Autotuning with Ordinal Regression: Extended Abstract. - Biagio Cosenza; Juan José Durillo; Stefano Ermon; Ben H. H. Juurlink (SCOPES, 2017)

Multiple Sequence Alignment with Multiobjective Metaheuristics. A Comparative Study. - Cristian Zambrano-Vega; Antonio J. Nebro; Juan José Durillo; José García-Nieto; José Francisco Aldana Montes (Int. J. Intell. Syst., 2017)

About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework. - Antonio Benítez-Hidalgo; Antonio J. Nebro; Juan José Durillo; José García-Nieto; Esteban López-Camacho; Cristóbal Barba-González; José Francisco Aldana Montes (IDC, 2018)

Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation. - 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 (PPSN (1), 2018)

jMetalSP: A framework for dynamic multi-objective big data optimization. - Cristóbal Barba-González; José García-Nieto; Antonio J. Nebro; José A. Cordero; Juan José Durillo; Ismael Navas-Delgado; José Francisco Aldana Montes (Appl. Soft Comput., 2018)

Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers. - Radu Prodan; Ennio Torre; Juan José Durillo; Gagangeet Singh Aujla; Neeraj Kumar 001; Hamid Mohammadi Fard; Shajulin Benedict (SEAA, 2019)

A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME. - Alejandro Santiago Pineda; Bernabé Dorronsoro; Antonio J. Nebro; Juan José Durillo; Oscar Castillo 001; Héctor J. Fraire H. (Inf. Sci., 2019)

Multi-Objective region-Aware optimization of parallel programs. - Juan José Durillo; Philipp Gschwandtner; Klaus Kofler; Thomas Fahringer (Parallel Comput., 2019)

A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. - Ennio Torre; Juan José Durillo; Vincenzo De Maio; Prateek Agrawal; Shajulin Benedict; Nishant Saurabh; Radu Prodan (Inf. Softw. Technol., 2020)

Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach. - Thanh-Phuong Pham; Juan José Durillo; Thomas Fahringer (IEEE Trans. Cloud Comput., 2020)

Survey of adaptive containerization architectures for HPC. - Nina Mujkanovic; Juan José Durillo; Nicolay Hammer; Tiziano Müller (SC Workshops, 2023)

Evolver: Meta-optimizing multi-objective metaheuristics. - José F. Aldana-Martín; Juan José Durillo; Antonio J. Nebro (SoftwareX, 2023)

Understanding Energy Consumption Trends in High Performance Computing Nodes. - Jonathan Muraña; Juan José Durillo; Sergio Nesmachnow (WSC, 2024)