B. Dorronsoro

Bernabé Dorronsoro, Carlos Soto, Alejandro Santiago, 2018, Proceedings of MOL2NET 2018, International Conference on Multidisciplinary Sciences, 4th edition.

Proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 9422

José A. Gámez, Mikel Galar, Bernabé Dorronsoro, 2015 .

Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems

Johnatan E. Pecero, B. Dorronsoro, P. Bouvry, 2013, Journal of Grid Computing.

Optimisation of the enhanced distance based broadcasting protocol for MANETs

B. Dorronsoro, P. Bouvry, F. Pinel, 2012, The Journal of Supercomputing.

Optimization Models with Coalitional Cellular Automata

Bernabé Dorronsoro, Juan C. Burguillo, J. C. Burguillo, 2018 .

Decentralized Cellular Evolutionary Algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2005, Handbook of Bioinspired Algorithms and Applications.

AbYSS: Adapting Scatter Search to Multiobjective Optimization

Enrique Alba, Francisco Luna, Bernabé Dorronsoro, 2008, IEEE Transactions on Evolutionary Computation.

Efficient Heuristics for Profit Optimization of Virtual Cloud Brokers

Bernabé Dorronsoro, Sergio Nesmachnow, Santiago Iturriaga, 2015, IEEE Computational Intelligence Magazine.

A novel multi-objective optimization approach to guarantee quality of service and energy efficiency in a heterogeneous bus fleet system

A. Tchernykh, B. Dorronsoro, Patricia Ruiz, 2022, Engineering Optimization.

The exploration/exploitation tradeoff in dynamic cellular genetic algorithms

Enrique Alba, Bernabé Dorronsoro, E. Alba, 2005, IEEE Transactions on Evolutionary Computation.

Multi-objective robust static mapping of independent tasks on grids

Anthony A. Maciejewski, Pascal Bouvry, Bernabé Dorronsoro, 2010, IEEE Congress on Evolutionary Computation.

A new parallel asynchronous cellular genetic algorithm for scheduling in grids

Pascal Bouvry, Bernabé Dorronsoro, Frédéric Pinel, 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

A Tabu Search Algorithm for Scheduling Independent Jobs in Computational Grids

Enrique Alba, Fatos Xhafa, Bernabé Dorronsoro, 2009, Comput. Informatics.

Design and evaluation of tabu search method for job scheduling in distributed environments

Enrique Alba, Fatos Xhafa, Bernabé Dorronsoro, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms

Enrique Alba, Fatos Xhafa, Bernabé Dorronsoro, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

A scalable parallel cooperative coevolutionary PSO algorithm for multi-objective optimization

Pascal Bouvry, Grégoire Danoy, Bernabé Dorronsoro, 2018, J. Parallel Distributed Comput..

A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME

Oscar Castillo, Bernabé Dorronsoro, H. HéctorJ.Fraire, 2019, Inf. Sci..

Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search

Pascal Bouvry, Bernabé Dorronsoro, Sergio Nesmachnow, 2013, Comput. Informatics.

MOCell: A cellular genetic algorithm for multiobjective optimization

Enrique Alba, Francisco Luna, Bernabé Dorronsoro, 2009, Int. J. Intell. Syst..

A Survey of Decomposition Methods for Multi-objective Optimization

Bernabé Dorronsoro, H. HéctorJ.Fraire, Johnatan E. Pecero, 2014, Recent Advances on Hybrid Approaches for Designing Intelligent Systems.

jMetal: a Java Framework for Developing Multi-Objective Optimization Metaheuristics

Francisco Luna, Bernabé Dorronsoro, Enrique Alba, 2006 .

Solving very large instances of the scheduling of independent tasks problem on the GPU

Pascal Bouvry, Bernabé Dorronsoro, Frédéric Pinel, 2013, J. Parallel Distributed Comput..

Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks

S. Nesmachnow, S. Iturriaga, G. Goñi, 2019, Programming and Computer Software.

Cost and QoS Optimization of Cloud-Based Content Distribution Networks Using Evolutionary Algorithms

Andrei Tchernykh, Bernabé Dorronsoro, Sergio Nesmachnow, 2018, CARLA.

Optimising small-world properties in VANETs: Centralised and distributed overlay approaches

Pascal Bouvry, Grégoire Danoy, Bernabé Dorronsoro, 2014, Appl. Soft Comput..

Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms

Pascal Bouvry, Grégoire Danoy, Bernabé Dorronsoro, 2012, 2012 IEEE Congress on Evolutionary Computation.

Solving the multi-objective flexible job shop scheduling problem with a novel parallel branch and bound algorithm

Bernabé Dorronsoro, Nelson Rangel-Valdez, H. HéctorJ.Fraire, 2020, Swarm Evol. Comput..

Evolutionary Algorithms Based on Game Theory and Cellular Automata with Coalitions

Pascal Bouvry, Bernabé Dorronsoro, Juan C. Burguillo, 2013, Handbook of Optimization.

Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems

Pascal Bouvry, Bernabé Dorronsoro, Johnatan E. Pecero, 2014, Appl. Soft Comput..

Internet Shopping Optimization Project (IShOP)

Jacek Blazewicz, Johnatan E. Pecero, Jedrzej Musial, 2014 .

A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems

Ciprian Dobre, Daniel Gutiérrez-Reina, Sergio L. Toral Marín, 2016, Int. J. Distributed Sens. Networks.

A Simple Cellular Genetic Algorithm for Continuous Optimization

Enrique Alba, Bernabé Dorronsoro, E. Alba, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Using simulation-based optimization in the context of IT service management change process

Bernabé Dorronsoro, Mercedes Ruiz, Daniel Rodríguez-García, 2018, Decis. Support Syst..

Advanced models of cellular genetic algorithms evaluated on SAT

Enrique Alba, Bernabé Dorronsoro, Hugo Alfonso, 2005, GECCO '05.

Design Issues in a Multiobjective Cellular Genetic Algorithm

Enrique Alba, Francisco Luna, Bernabé Dorronsoro, 2007, EMO.

Improving Classical and Decentralized Differential Evolution With New Mutation Operator and Population Topologies

Pascal Bouvry, Bernabé Dorronsoro, B. Dorronsoro, 2011, IEEE Transactions on Evolutionary Computation.

Special issue on soft computing techniques in cluster and grid computing systems

Bernabé Dorronsoro, Sergio Nesmachnow, B. Dorronsoro, 2014, Cluster Computing.

Comparison of Green Light Optimal Speed Advisory approaches

Marcin Seredynski, Djamel Khadraoui, Bernabé Dorronsoro, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

Multiobjective evolutionary algorithms for energy and service level scheduling in a federation of distributed datacenters

Bernabé Dorronsoro, Sergio Nesmachnow, Santiago Iturriaga, 2017, Int. Trans. Oper. Res..

Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

Bernabé Dorronsoro, Daniel Urda, Roberto Magán-Carrión, 2020, Applied Sciences.

Estimation of Distribution Algorithms

Bernabé Dorronsoro, Julio Madera, B. Dorronsoro, 2006 .

Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences

Bernabé Dorronsoro, H. HéctorJ.Fraire, Laura Cruz Reyes, 2020, Future Gener. Comput. Syst..

Including Dynamic Adaptative Topology to Particle Swarm Optimization Algorithms

Bernabé Dorronsoro, Patricia Ruiz, Juan C. Burguillo, 2020 .

Virtual Savant for the Heterogeneous Computing Scheduling Problem

Bernabé Dorronsoro, Sergio Nesmachnow, Renzo Massobrio, 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS).

A Multithreading Local Search For Multiobjective Energy-Aware Scheduling In Heterogeneous Computing Systems

Bernabé Dorronsoro, Sergio Nesmachnow, Santiago Iturriaga, 2012, ECMS.

Metaheuristics for the Virtual Machine Mapping Problem in Clouds

Pascal Bouvry, Bernabé Dorronsoro, El-Ghazali Talbi, 2015, Informatica.

AMOSA with Analytical Tuning Parameters and Fuzzy Logic Controller for Heterogeneous Computing Scheduling Problem

Bernabé Dorronsoro, Nelson Rangel-Valdez, H. HéctorJ.Fraire, 2020, Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms.

A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems

Albert Y. Zomaya, Pascal Bouvry, Javid Taheri, 2014, Sustain. Comput. Informatics Syst..

A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids

Johnatan E. Pecero, S. Khan, B. Dorronsoro, 2013, Cluster Computing.

The Virtual Savant: Automatic generation of parallel solvers

Pascal Bouvry, Bernabé Dorronsoro, Frédéric Pinel, 2018, Inf. Sci..

Multiobjective Energy-Aware Workflow Scheduling in Distributed Datacenters

Andrei Tchernykh, Bernabé Dorronsoro, Sergio Nesmachnow, 2015, ICS 2015.

Savant: Automatic generation of a parallel scheduling heuristic for map-reduce

Bernabé Dorronsoro, Frédéric Pinel, B. Dorronsoro, 2014, Int. J. Hybrid Intell. Syst..

A New Parallel Asynchronous Cellular Genetic Algorithm for de Novo Genomic Sequencing

Pascal Bouvry, Bernabé Dorronsoro, Frédéric Pinel, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

The sandpile scheduler

Pascal Bouvry, Bernabé Dorronsoro, Juan Luis Jiménez Laredo, 2014, Cluster Computing.

New State-of-the-art Results for Cassini2 Global Trajectory Optimization Problem

Pascal Bouvry, Grégoire Danoy, Bernabé Dorronsoro, 2011 .

A Cellular Genetic Algorithm for scheduling applications and energy-aware communication optimization

Pascal Bouvry, Samee Ullah Khan, Bernabé Dorronsoro, 2010, 2010 International Conference on High Performance Computing & Simulation.

Optimization and Learning: Third International Conference, OLA 2020, Cádiz, Spain, February 17–19, 2020, Proceedings

Krishna M. Sivalingam, Alfredo Cuzzocrea, Simone Diniz Junqueira Barbosa, 2020, OLA.

Adaptive Neighborhoods for Cellular Genetic Algorithms

Pascal Bouvry, Bernabé Dorronsoro, B. Dorronsoro, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem

Enrique Alba, Bernabé Dorronsoro, E. Alba, 2008, Engineering Evolutionary Intelligent Systems.

A Parallel Hybrid Evolutionary Algorithm for the Optimization of Broker Virtual Machines Subletting in Cloud Systems

Pascal Bouvry, Bernabé Dorronsoro, El-Ghazali Talbi, 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

It's Not a Bug, It's a Feature: Wait-Free Asynchronous Cellular Genetic Algorithm

Pascal Bouvry, Samee Ullah Khan, Bernabé Dorronsoro, 2013, PPAM.

Study of different small-world topology generation mechanisms for Genetic Algorithms

Pascal Bouvry, Bernabé Dorronsoro, B. Dorronsoro, 2012, 2012 IEEE Congress on Evolutionary Computation.

Differential Evolution Algorithms with Cellular Populations

Pascal Bouvry, Bernabé Dorronsoro, B. Dorronsoro, 2010, PPSN.

An asynchronous parallel implementation of a cellular genetic algorithm for combinatorial optimization

Enrique Alba, Bernabé Dorronsoro, Gabriel Luque, 2009, GECCO.

Theory and Practice of Cellular UMDA for Discrete Optimization

Enrique Alba, Bernabé Dorronsoro, Carlos Alberto Ochoa Ortíz Zezzatti, 2006, PPSN.

Hierarchical Cellular Genetic Algorithm

Enrique Alba, Martin Middendorf, Bernabé Dorronsoro, 2006, EvoCOP.

The influence of grid shape and asynchronicity on cellular evolutionary algorithms

Enrique Alba, Marco Tomassini, Mario Giacobini, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Optimal battery management strategies for plug-in electric hybrid buses on routes including green corridors

Albert Y. Zomaya, B. Dorronsoro, M. Seredynski, 2023, Sustainable Cities and Society.

A GRID-BASED HYBRID CELLULAR GENETIC ALGORITHM FOR VERY LARGE SCALE INSTANCES OF THE CVRP

F. Luna, B. Dorronsoro, Daniel Arias, 2007 .

Intelligent Electric Drive Management for Plug-in Hybrid Buses

Marcin Seredynski, Bernabé Dorronsoro, Patricia Ruiz, 2020, OLA.

Learning to optimize timetables for efficient transfers in public transportation systems

B. Dorronsoro, Sergio Nesmachnow, R. Massobrio, 2022, Appl. Soft Comput..

Computing nine new best-so-far solutions for Capacitated VRP with a cellular Genetic Algorithm

Enrique Alba, Bernabé Dorronsoro, E. Alba, 2006, Inf. Process. Lett..

AEDB protocol tuning with a fast efficient parallel multi-objective local search

Pascal Bouvry, Bernabé Dorronsoro, Patricia Ruiz, 2014, Int. J. Ad Hoc Ubiquitous Comput..

A Parallel Multi-objective Local Search for AEDB Protocol Tuning

Pascal Bouvry, Bernabé Dorronsoro, Patricia Ruiz, 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Cellular genetic algorithms without additional parameters

B. Dorronsoro, P. Bouvry, 2013, The Journal of Supercomputing.

Virtual Savant as a generic learning approach applied to the basic independent Next Release Problem

Bernabé Dorronsoro, Sergio Nesmachnow, Francisco Palomo-Lozano, 2021, Appl. Soft Comput..

Parallel virtual savant for the heterogeneous computing scheduling problem

Bernabé Dorronsoro, Patricia Ruiz, Sergio Nesmachnow, 2020, J. Comput. Sci..

CHAC, A MOACO algorithm for computation of bi-criteria military unit path in the battlefield: Presentation and first results

Jonathan M. Garibaldi, Lin Li, Natalio Krasnogor, 2009 .

Cellular Memetic Algorithms

Bernabé Dorronsoro, Hugo Alfonso, Enrique Alba Torres, 2005 .

Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance

Bernabé Dorronsoro, Daniel Urda, Ignacio J. Turias, 2020, OLA.

List scheduling heuristics for virtual machine mapping in cloud systems

Pascal Bouvry, Bernabé Dorronsoro, El-Ghazali Talbi, 2013, HiPC 2013.

Computational intelligence for cloud management current trends and opportunities

Pascal Bouvry, Bernabé Dorronsoro, El-Ghazali Talbi, 2013, 2013 IEEE Congress on Evolutionary Computation.

Savant: Automatic parallelization of a scheduling heuristic with machine learning

Pascal Bouvry, Samee Ullah Khan, Bernabé Dorronsoro, 2013, 2013 World Congress on Nature and Biologically Inspired Computing.

Support Vector Machine Acceleration for Intel Xeon Phi Manycore Processors

Bernabé Dorronsoro, Sergio Nesmachnow, Renzo Massobrio, 2017, CARLA.

APPLICATION OF POPULATION EVOLVABILITY IN A HYPER-HEURISTIC FOR DYNAMIC MULTI-OBJECTIVE OPTIMIZATION

Bernabé Dorronsoro, Nelson Rangel-Valdez, Laura Cruz-Reyes, 2019, Technological and Economic Development of Economy.

Advanced models of cellular genetic algorithms evaluated on SAT

E. Alba, B. Dorronsoro, Hugo Alfonso, 2005, GECCO '05.

Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial

Miguel A. Molina-Cabello, Stephan M. Winkler, David F. Barrero, 2016 .