F. Luna

发表

A Study of Convergence Speed in Multi-objective Metaheuristics

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2008, PPSN.

A Cellular Genetic Algorithm for Multiobjective Optimization

Antonio J. Nebro, E. Alba, J. Durillo, 2006 .

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

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

SMPSO : A New PSO Metaheuristic for Multi-objective Optimization

Antonio J. Nebro, J. Durillo, F. Luna, 2009 .

Integrating a multi-objective optimization framework into a structural design software

Francisco Luna, Antonio J. Nebro, Juan José Durillo, 2014, Adv. Eng. Softw..

Optimización de problemas multiobjetivo de Ingeniería Civil con jMetal

Antonio J. Nebro, Gustavo R. Zavala, J. Durillo, 2015 .

Advanced Evolutionary Algorithms for Training Neural Networks

Enrique Alba, Francisco Luna, Gabriel Luque, 2005, Handbook of Bioinspired Algorithms and Applications.

Structural design using multi-objective metaheuristics. Comparative study and application to a real-world problem

Antonio J. Nebro, Gustavo R. Zavala, C. A. Coello Coello, 2015, Structural and Multidisciplinary Optimization.

A survey of multi-objective metaheuristics applied to structural optimization

Antonio J. Nebro, Gustavo R. Zavala, C. A. Coello Coello, 2013, Structural and Multidisciplinary Optimization.

Parallel Multiobjective Optimization

Francisco Luna, Enrique Alba, Antonio J. Nebro, 2005 .

Systolic genetic search, a systolic computing-based metaheuristic

E. Alba, F. Luna, M. Pedemonte, 2014, Soft Computing.

A theoretical and empirical study of the trajectories of solutions on the grid of Systolic Genetic Search

Martín Pedemonte, Enrique Alba, Francisco Luna, 2018, Inf. Sci..

Structural design using multi-objective metaheuristics. Comparative study and application to a real-world problem

Antonio J. Nebro, Gustavo R. Zavala, C. A. Coello Coello, 2016 .

Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?

Antonio J. Nebro, C. A. Coello Coello, F. Luna, 2022, Mathematical and Computational Applications.

Approaching the cell switch-off problem in 5G ultra-dense networks with dynamic multi-objective optimization

Francisco Luna, Juan F. Valenzuela-Valdes, Juan C. Gonzalez-Macias, 2020, Future Gener. Comput. Syst..

A survey of multi-objective metaheuristics applied to structural optimization

Antonio J. Nebro, Gustavo R. Zavala, C. A. Coello Coello, 2014 .

A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems

Carlos A. Coello Coello, José García-Nieto, Enrique Alba, 2010, IEEE Transactions on Evolutionary Computation.

AbYSS: Adapting Scatter Search to Multiobjective Optimization

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

Optimization algorithms for large-scale real-world instances of the frequency assignment problem

Enrique Alba, Francisco Luna, Gara Miranda, 2010, Soft Comput..

Advances in parallel heterogeneous genetic algorithms for continuous optimization

Francisco Luna, Enrique Alba, Antonio J. Nebro, 2004 .

A parallel local search in CPU/GPU for scheduling independent tasks on large heterogeneous computing systems

Enrique Alba, Francisco Luna, Sergio Nesmachnow, 2015, The Journal of Supercomputing.

Solving large-scale real-world telecommunication problems using a grid-based genetic algorithm

Francisco Luna, Enrique Alba, Antonio J. Nebro, 2008 .

A study of master-slave approaches to parallelize NSGA-II

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

Multi-Objective Optimization using Grid Computing

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2007, Soft Comput..

Observations in using Grid-enabled technologies for solving multi-objective optimization problems

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2006, Parallel Comput..

A Globus-Based Distributed Enumerative Search Algorithm for Multi-objective Optimization

Francisco Luna, Enrique Alba, Antonio J. Nebro, 2004 .

Enhancing distributed EAs by a proactive strategy

Enrique Alba, Francisco Luna, Carolina Salto, 2014, Cluster Computing.

Parallel heterogeneous genetic algorithms for continuous optimization

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2003, Proceedings International Parallel and Distributed Processing Symposium.

MOCell: A cellular genetic algorithm for multiobjective optimization

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

On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2009, EMO.

Author Proof MOCell: A Cellular Genetic Algorithm

Francisco Luna, Enrique Alba, Departamento de Lenguajes, 2009 .

Parallel Evolutionary Multiobjective Optimization

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2006, Parallel Evolutionary Computations.

New Ideas in Applying Scatter Search to Multiobjective Optimization

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2005, EMO.

Solving Three-Objective Optimization Problems Using a New Hybrid Cellular Genetic Algorithm

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2008, PPSN.

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

Francisco Luna, Bernabé Dorronsoro, Enrique Alba, 2006 .

The software project scheduling problem: A scalability analysis of multi-objective metaheuristics

Francisco Luna, Miguel A. Vega-Rodríguez, David L. González-Álvarez, 2014, Appl. Soft Comput..

An efficient local improvement operator for the multi-objective wireless sensor network deployment problem

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2011 .

Fuzzy techniques for IPO underpricing prediction

Francisco Luna, Rafael Marcos Luque Baena, David Quintana, 2018, J. Intell. Fuzzy Syst..

Evolutionary algorithms for solving the automatic cell planning problem: a survey

Francisco Luna, Enrique Alba, Antonio J. Nebro, 2010 .

Optimal antenna placement using a new multi-objective chc algorithm

Enrique Alba, Francisco Luna, Francisco Chicano, 2007, GECCO '07.

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs

Enrique Alba, Francisco Luna, Gara Miranda, 2007, EUROCAST.

SMPSO: A new PSO-based metaheuristic for multi-objective optimization

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2009, 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making(MCDM).

Convergence speed in multi‐objective metaheuristics: Efficiency criteria and empirical study

Enrique Alba, Francisco Luna, Carlos A. Coello Coello, 2010 .

Parallel Multiobjective Evolutionary Algorithms

Enrique Alba, Francisco Luna, E. Alba, 2015, Handbook of Computational Intelligence.

Systolic genetic search, a systolic computing-based metaheuristic

Martín Pedemonte, Enrique Alba, Francisco Luna, 2015, Soft Comput..

Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms

Francisco Luna, Gara Miranda, Eduardo Segredo, 2009, EMO.

Design Issues in a Multiobjective Cellular Genetic Algorithm

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

A Systolic Genetic Search for reducing the execution cost of regression testing

Martín Pedemonte, Enrique Alba, Francisco Luna, 2016, Appl. Soft Comput..

Enhanced Parallel Cooperative Model for Trajectory Based Metaheuristics: A Scalability Analysis

Enrique Alba, Francisco Luna, Gabriel Luque, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

Distributed Evolutionary Algorithms in Heterogeneous Environments

Enrique Alba, Francisco Luna, Carolina Salto, 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

An Efficient Stochastic Local Search for Heterogeneous Computing Scheduling

Enrique Alba, Francisco Luna, Sergio Nesmachnow, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

An empirical time analysis of evolutionary algorithms as C programs

Enrique Alba, Francisco Luna, Sergio Nesmachnow, 2015, Softw. Pract. Exp..

Time analysis of standard evolutionary algorithms as software programs

Enrique Alba, Francisco Luna, Sergio Nesmachnow, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Compact and Low-Loss V-Band Waveguide Phase Shifter Based on Glide-Symmetric Pin Configuration

Pablo Padilla, Angel Palomares-Caballero, Antonio Alex-Amor, 2019, IEEE Access.

Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm

Rafael Marcos Luque Baena, Pablo Padilla, Juan F. Valenzuela-Valdés, 2018, 2018 IEEE 5G World Forum (5GWF).

Improving Diversity in Evolutionary Algorithms: New Best Solutions for Frequency Assignment

Enrique Alba, Francisco Luna, Carlos Segura, 2017, IEEE Transactions on Evolutionary Computation.

Solving optimization problems using a hybrid systolic search on GPU plus CPU

Enrique Alba, Francisco Luna, Pablo Vidal, 2017, Soft Comput..

Solving optimization problems using a hybrid systolic search on GPU plus CPU

E. Alba, F. Luna, P. Vidal, 2016, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Systolic Genetic Search for Software Engineering: The Test Suite Minimization Case

Martín Pedemonte, Enrique Alba, Francisco Luna, 2014, EvoApplications.

Multi-Objective Particle Swarm Optimizers: An Experimental Comparison

Carlos A. Coello Coello, José García-Nieto, Enrique Alba, 2009, EMO.

Systolic neighborhood search on graphics processing units

E. Alba, F. Luna, P. Vidal, 2013, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Heterogeneity through Proactivity: Enhancing Distributed EAs

Enrique Alba, Francisco Luna, Carolina Salto, 2012, 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Towards the Design of Systolic Genetic Search

E. Alba, F. Luna, M. Pedemonte, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

Exploring the Accuracy of a Parallel Cooperative Model for Trajectory-Based Metaheuristics

Enrique Alba, Francisco Luna, Sergio Nesmachnow, 2011, EUROCAST.

Systolic neighborhood search on graphics processing units

Enrique Alba, Francisco Luna, Pablo Vidal, 2014, Soft Comput..

New Ideas in Parallel Metaheuristics on GPU: Systolic Genetic Search

Martín Pedemonte, Enrique Alba, Francisco Luna, 2013, Massively Parallel Evolutionary Computation on GPGPUs.

A New Parallel Cooperative Model for Trajectory Based Metaheuristics

Enrique Alba, Francisco Luna, Gabriel Luque, 2010, DCAI.

Parallel Heterogeneous Metaheuristics

Francisco Luna, Enrique Alba, Antonio J. Nebro, 2005 .

A Scatter Search Approach for Solving the Automatic Cell Planning Problem

Enrique Alba, Francisco Luna, Antonio J. Nebro, 2009, LSSC.

DNA fragment assembly using a grid-based genetic algorithm

Enrique Alba, Francisco Luna, Gabriel Luque, 2008, Comput. Oper. Res..

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

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

Robust solutions for the software project scheduling problem: a preliminary analysis

Enrique Alba, Francisco Luna, Francisco Chicano, 2012, Int. J. Metaheuristics.

A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem

Francisco Luna, Francisco Chicano, Alejandro Cervantes, 2012, EvoApplications.

Metaheuristics for solving a real-world frequency assignment problem in GSM networks

Gara Miranda, Carlos Segura, Coromoto León, 2008, GECCO '08.

Optimizing household energy planning in smart cities: A multiobjective approach

Francisco Luna, Sergio Nesmachnow, Jamal Toutouh, 2020 .

Robust technical trading strategies using GP for algorithmic portfolio selection

David Quintana, José Manuel Berutich, Francisco López, 2016, Expert Syst. Appl..

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 .

Optimization algorithms for large-scale real-world instances of the frequency assignment problem

Antonio J. Nebro, E. Alba, C. León, 2010, Soft Comput..