Antonio J. Nebro

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 49

Top Topics

Particle Swarm Optimizer

Sequence Alignment

Top Venues

Swarm Evol. Comput.

Appl. Soft Comput.

GECCO (Companion)

Publications

José F. Aldana-Martín, María del Mar Roldán García, Antonio J. Nebro, José Francisco Aldana Montes
MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms. Inf. Sci. 661 (2024)
Jesús Para, Javier Del Ser, Antonio J. Nebro
Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm. OLA (2023)
Cristian Cardas, José F. Aldana-Martín, Antonio M. Burgueño-Romero, Antonio J. Nebro, Jose Manuel Mateos, Juan Jesús Sánchez Sánchez
On the performance of SQL scalable systems on Kubernetes: a comparative study. Clust. Comput. 26 (3) (2023)
José F. Aldana-Martín, Juan José Durillo, Antonio J. Nebro
Evolver: Meta-optimizing multi-objective metaheuristics. SoftwareX 24 (2023)
Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto, Carlos A. Coello Coello
Automatic Design of Multi-objective Particle Swarm Optimizers. ANTS Conference (2022)
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Antonio J. Nebro, Xin-She Yang
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. SSCI (2021)
Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto, María del Mar Roldán García, Ismael Navas Delgado, José Francisco Aldana Montes
Injecting domain knowledge in multi-objective optimization problems: A semantic approach. Comput. Stand. Interfaces 78 (2021)
Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano
Merge Nondominated Sorting Algorithm for Many-Objective Optimization. IEEE Trans. Cybern. 51 (12) (2021)
Antonio Benítez-Hidalgo, Cristóbal Barba-González, José García-Nieto, Pedro Gutiérrez-Moncayo, Manuel Paneque, Antonio J. Nebro, María del Mar Roldán García, José Francisco Aldana Montes, Ismael Navas Delgado
TITAN: A knowledge-based platform for Big Data workflow management. Knowl. Based Syst. 232 (2021)
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64 (2021)
Sandro Hurtado, José García-Nieto, Ismael Navas Delgado, Antonio J. Nebro, José Francisco Aldana Montes
Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers. Appl. Intell. 51 (4) (2021)
Esteban López-Camacho, María Jesús García-Godoy, José García-Nieto, Antonio J. Nebro, José Francisco Aldana Montes
Optimizing ligand conformations in flexible protein targets: a multi-objective strategy. Soft Comput. 24 (14) (2020)
Antonio Benítez-Hidalgo, Antonio J. Nebro, José Francisco Aldana Montes
Sequoya: multiobjective multiple sequence alignment in Python. Bioinform. 36 (12) (2020)
Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto, José Francisco Aldana Montes
A multi-objective interactive dynamic particle swarm optimizer. Prog. Artif. Intell. 9 (1) (2020)
Cristóbal Barba-González, Antonio J. Nebro, Antonio Benítez-Hidalgo, José García-Nieto, José Francisco Aldana Montes
On the design of a framework integrating an optimization engine with streaming technologies. Future Gener. Comput. Syst. 107 (2020)
Antonio J. Nebro, Manuel López-Ibáñez, Cristóbal Barba-González, José García-Nieto
Automatic configuration of NSGA-II with jMetal and irace. GECCO (Companion) (2019)
María Jesús García-Godoy, Esteban López-Camacho, José García-Nieto, Javier Del Ser, Antonio J. Nebro, José Francisco Aldana Montes
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives. Appl. Soft Comput. 79 (2019)
José García-Nieto, Antonio J. Nebro, José Francisco Aldana Montes
Inference of gene regulatory networks with multi-objective cellular genetic algorithm. Comput. Biol. Chem. 80 (2019)
Jesus Para, Javier Del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. Eng. Appl. Artif. Intell. 82 (2019)
Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser
jMetalPy: A Python framework for multi-objective optimization with metaheuristics. Swarm Evol. Comput. 51 (2019)
Cristóbal Barba-González, José García-Nieto, María del Mar Roldán García, Ismael Navas Delgado, Antonio J. Nebro, José Francisco Aldana Montes
BIGOWL: Knowledge centered Big Data analytics. Expert Syst. Appl. 115 (2019)
José García-Nieto, Esteban López-Camacho, María Jesús García-Godoy, Antonio J. Nebro, José Francisco Aldana Montes
Multi-objective ligand-protein docking with particle swarm optimizers. Swarm Evol. Comput. 44 (2019)
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 (2019)
Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics. CoRR (2019)
Eneko Osaba, Javier Del Ser, Antonio J. Nebro, Ibai Lana, Miren Nekane Bilbao, Javier J. Sánchez Medina
Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs. ITSC (2018)
Antonio J. Nebro, Ana Belen Ruiz, Cristóbal Barba-González, José García-Nieto, Mariano Luque, José Francisco Aldana Montes
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. Swarm Evol. Comput. 40 (2018)
Cristóbal Barba-González, Vesa Ojalehto, José García-Nieto, Antonio J. Nebro, Kaisa Miettinen, José Francisco Aldana Montes
Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods. PPSN (1) (2018)
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 (2018)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
Tutorials at PPSN 2018. PPSN (2) (2018)
Eneko Osaba, Javier Del Ser, Miren Nekane Bilbao, Pedro López-García, Antonio J. Nebro
Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics. BIOMA (2018)
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)
Esteban López-Camacho, María Jesús García-Godoy, Javier Del Ser, Antonio J. Nebro, José Francisco Aldana Montes
Multi-objective Metaheuristics for a Flexible Ligand-Macromolecule Docking Problem in Computational Biology. IDC (2018)
Cristóbal Barba-González, José García-Nieto, Antonio Benítez-Hidalgo, Antonio J. Nebro, José Francisco Aldana Montes
Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform. IDC (2018)
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)
Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization. CoRR (2018)
Jesus Para, Javier Del Ser, Aitor Aguirre, Antonio J. Nebro
Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification. IDC (2018)
Cristian Zambrano-Vega, Antonio J. Nebro, José Francisco Aldana Montes, Byron Oviedo
MORPHY: A Multiobjective Software Tool for Phylogenetic Inference of Protein Coded Sequences. ICITS (2018)
Cristóbal Barba-González, José García-Nieto, Antonio J. Nebro, José Francisco Aldana Montes
Multi-objective Big Data Optimization with jMetal and Spark. EMO (2017)
Cristian Zambrano-Vega, Antonio J. Nebro, José García-Nieto, José Francisco Aldana Montes
A Multi-objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics. IWBBIO (2) (2017)
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) (2017)
Cristian Zambrano-Vega, Antonio J. Nebro, José García-Nieto, José Francisco Aldana Montes
M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic. Bioinform. 33 (19) (2017)
Antonio J. Nebro, Cristóbal Barba-González, José García-Nieto, José A. Cordero, José Francisco Aldana Montes
Design and architecture of the jMetaISP framework. GECCO (Companion) (2017)
Cristian Zambrano-Vega, Antonio J. Nebro, José García-Nieto, José Francisco Aldana Montes
Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment. Prog. Artif. Intell. 6 (3) (2017)
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)
Esteban López-Camacho, María Jesús García-Godoy, José García-Nieto, Antonio J. Nebro, José Francisco Aldana Montes
A New Multi-objective Approach for Molecular Docking Based on RMSD and Binding Energy. AlCoB (2016)
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) (2016)
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)
Esteban López-Camacho, María Jesús García-Godoy, José García-Nieto, Antonio J. Nebro, José Francisco Aldana Montes
Solving molecular flexible docking problems with metaheuristics: A comparative study. Appl. Soft Comput. 28 (2015)
Antonio J. Nebro, Juan José Durillo, Matthieu Vergne
Redesigning the jMetal Multi-Objective Optimization Framework. GECCO (Companion) (2015)
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 (2014)
Esteban López-Camacho, María Jesús García-Godoy, Antonio J. Nebro, José Francisco Aldana Montes
jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework. Bioinform. 30 (3) (2014)
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)
Bernabé Dorronsoro, Grégoire Danoy, Antonio J. Nebro, Pascal Bouvry
Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. Comput. Oper. Res. 40 (6) (2013)
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)
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)
El-Ghazali Talbi, Matthieu Basseur, Antonio J. Nebro, Enrique Alba
Multi-objective optimization using metaheuristics: non-standard algorithms. Int. Trans. Oper. Res. 19 (1-2) (2012)
Francisco Chicano, Francisco Luna, Antonio J. Nebro, Enrique Alba
Using multi-objective metaheuristics to solve the software project scheduling problem. GECCO (2011)
Juan José Durillo, Antonio J. Nebro
jMetal: A Java framework for multi-objective optimization. Adv. Eng. Softw. 42 (10) (2011)
Juan José Durillo, Qingfu Zhang, Antonio J. Nebro, Enrique Alba
Distribution of Computational Effort in Parallel MOEA/D. LION (2011)
Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Antonio J. Nebro, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Enrique Alba, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido
Optimization algorithms for large-scale real-world instances of the frequency assignment problem. Soft Comput. 15 (5) (2011)
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) (2011)
Antonio J. Nebro, Juan José Durillo
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D. LION (2010)
Juan José Durillo, Antonio J. Nebro, Enrique Alba
The jMetal framework for multi-objective optimization: Design and architecture. IEEE Congress on Evolutionary Computation (2010)
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) (2010)
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)
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)
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)
Carlos Segura, Alejandro Cervantes, Antonio J. Nebro, María Dolores Jaraíz-Simón, Eduardo Segredo, Sandra García-Rodríguez, Francisco Luna, Juan Antonio Gómez Pulido, Gara Miranda, Cristóbal Luque, Enrique Alba, Miguel Ángel Vega Rodríguez, Coromoto León, Inés María Galván
Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. EMO (2009)
Francisco Luna, Juan José Durillo, Antonio J. Nebro, Enrique Alba
A Scatter Search Approach for Solving the Automatic Cell Planning Problem. LSSC (2009)
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)
Francisco R. Villatoro, Antonio J. Nebro, Jose E. Fernández
PVM-Distributed Implementation of the Radiance Code CoRR (2008)
Juan José Durillo, Antonio J. Nebro, Francisco Luna, Enrique Alba
Solving Three-Objective Optimization Problems Using a New Hybrid Cellular Genetic Algorithm. PPSN (2008)
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)
Juan José Durillo, Antonio J. Nebro, Francisco Luna, Enrique Alba
A study of master-slave approaches to parallelize NSGA-II. IPDPS (2008)
Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Enrique Alba, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Antonio J. Nebro, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido
Metaheuristics for solving a real-world frequency assignment problem in GSM networks. GECCO (2008)
Antonio J. Nebro, Gabriel Luque, Francisco Luna, Enrique Alba
DNA fragment assembly using a grid-based genetic algorithm. Comput. Oper. Res. 35 (9) (2008)
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) (2008)
Enrique Alba, El-Ghazali Talbi, Antonio J. Nebro
Guest Editorial. J. Heuristics 14 (4) (2008)
Francisco Luna, Christian Blum, Enrique Alba, Antonio J. Nebro
ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. GECCO (2007)
Antonio J. Nebro, Enrique Alba, Francisco Luna
Multi-Objective Optimization using Grid Computing. Soft Comput. 11 (6) (2007)
Enrique Alba, Alejandro Cervantes, J. A. Gómez, Pedro Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, Raúl Pérez, Carlos Segura
Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST (2007)
Francisco Luna, Enrique Alba, Antonio J. Nebro, Salvador Pedraza
Evolutionary Algorithms for Real-World Instances of the Automatic Frequency Planning Problem in GSM Networks. EvoCOP (2007)
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)
Enrique Alba, Bernabé Dorronsoro, Francisco Luna, Antonio J. Nebro, Pascal Bouvry, Luc Hogie
A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs. Comput. Commun. 30 (4) (2007)
Francisco Luna, Antonio J. Nebro, Enrique Alba
Observations in using Grid-enabled technologies for solving multi-objective optimization problems. Parallel Comput. 32 (5-6) (2006)
Francisco Luna, Antonio J. Nebro, Bernabé Dorronsoro, Enrique Alba, Pascal Bouvry, Luc Hogie
Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search. EvoWorkshops (2006)
Antonio J. Nebro, Juan José Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba
Design Issues in a Multiobjective Cellular Genetic Algorithm. EMO (2006)
Enrique Alba, Bernabé Dorronsoro, Francisco Luna, Antonio J. Nebro, Pascal Bouvry
A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs. IPDPS (2005)
Antonio J. Nebro, Francisco Luna, Enrique Alba
New Ideas in Applying Scatter Search to Multiobjective Optimization. EMO (2005)
Enrique Alba, Francisco Luna, Antonio J. Nebro, José M. Troya
Parallel heterogeneous genetic algorithms for continuous optimization. Parallel Comput. 30 (5-6) (2004)
Enrique Alba, Francisco Luna, Antonio J. Nebro
Parallel Heterogeneous Genetic Algorithms for Continuous Optimization. IPDPS (2003)
Antonio J. Nebro, Enrique Alba, Francisco Luna, José M. Troya
.NET as a Platform for Implementing Concurrent Objects (Research Note). Euro-Par (2002)
Enrique Alba, Antonio J. Nebro, José M. Troya
Heterogeneous Computing and Parallel Genetic Algorithms. J. Parallel Distributed Comput. 62 (9) (2002)
Antonio J. Nebro, Ernesto Pimentel, José M. Troya
Evaluating a Multithreaded Runtime System for Concurrent Object-Oriented Languages. ISCOPE (1998)
Antonio J. Nebro, Ernesto Pimentel, José M. Troya
Integrating an Entry Consistency Memory Model and Concurrent Object-Oriented Programming. Euro-Par (1997)
Antonio J. Nebro, Ernesto Pimentel, José M. Troya
Applying Distributed Shared Memory Techniques for Implementing Distributed Objects. ECOOP Workshops (1997)
Carlos Cotta, José Francisco Aldana Montes, Antonio J. Nebro, José M. Troya
Hybridizing Genetic Algorithms with Branch and Bound Techniques for the Resolution of the TSP. ICANNGA (1995)