Hybridizing Genetic Algorithms with Branch and Bound Techniques for the Resolution of the TSP. - Carlos Cotta; José Francisco Aldana Montes; Antonio J. Nebro; José M. Troya (ICANNGA, 1995)

Applying Distributed Shared Memory Techniques for Implementing Distributed Objects. - Antonio J. Nebro; Ernesto Pimentel 001; José M. Troya (ECOOP Workshops, 1997)

Integrating an Entry Consistency Memory Model and Concurrent Object-Oriented Programming. - Antonio J. Nebro; Ernesto Pimentel 001; José M. Troya (Euro-Par, 1997)

Evaluating a Multithreaded Runtime System for Concurrent Object-Oriented Languages. - Antonio J. Nebro; Ernesto Pimentel 001; José M. Troya (ISCOPE, 1998)

.NET as a Platform for Implementing Concurrent Objects (Research Note). - Antonio J. Nebro; Enrique Alba 001; Francisco Luna 001; José M. Troya (Euro-Par, 2002)

Heterogeneous Computing and Parallel Genetic Algorithms. - Enrique Alba 001; Antonio J. Nebro; José M. Troya (J. Parallel Distributed Comput., 2002)

Parallel Heterogeneous Genetic Algorithms for Continuous Optimization. - Enrique Alba 001; Francisco Luna 001; Antonio J. Nebro (IPDPS, 2003)

Parallel heterogeneous genetic algorithms for continuous optimization. - Enrique Alba 001; Francisco Luna 001; Antonio J. Nebro; José M. Troya (Parallel Comput., 2004)

New Ideas in Applying Scatter Search to Multiobjective Optimization. - Antonio J. Nebro; Francisco Luna 001; Enrique Alba 001 (EMO, 2005)

A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs. - Enrique Alba 001; Bernabé Dorronsoro; Francisco Luna 001; Antonio J. Nebro; Pascal Bouvry (IPDPS, 2005)

Advanced Evolutionary Algorithms for Training Neural Networks. - Antonio J. Nebro; Gabriel Luque; Francisco Luna 001; Enrique Alba 001; J. Francisco Chicano (Handbook of Bioinspired Algorithms and Applications, 2005)

Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search. - Francisco Luna 001; Antonio J. Nebro; Bernabé Dorronsoro; Enrique Alba 001; Pascal Bouvry; Luc Hogie (EvoWorkshops, 2006)

Observations in using Grid-enabled technologies for solving multi-objective optimization problems. - Francisco Luna 001; Antonio J. Nebro; Enrique Alba 001 (Parallel Comput., 2006)

Parallel Evolutionary Multiobjective Optimization. - Francisco Luna 001; Antonio J. Nebro; Enrique Alba 001 (Parallel Evolutionary Computations, 2006)

DNA Fragment Assembly Using Grid Systems. - Antonio J. Nebro; Gabriel Luque; Enrique Alba 001 (Grid Computing for Bioinformatics and Computational Biology, 2007)

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

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. - Enrique Alba 001; Alejandro Cervantes; J. A. Gómez; Pedro Isasi; M. D. Jaraíz; Coromoto León; Gabriel Luque; Francisco Luna 001; Gara Miranda; Antonio J. Nebro; Raúl Pérez; Carlos Segura (EUROCAST, 2007)

Evolutionary Algorithms for Real-World Instances of the Automatic Frequency Planning Problem in GSM Networks. - Francisco Luna 001; Enrique Alba 001; Antonio J. Nebro; Salvador Pedraza (EvoCOP, 2007)

ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. - Francisco Luna 001; Christian Blum 001; Enrique Alba 001; Antonio J. Nebro (GECCO, 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 cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs. - Enrique Alba 001; Bernabé Dorronsoro; Francisco Luna 001; Antonio J. Nebro; Pascal Bouvry; Luc Hogie (Comput. Commun., 2007)

Multi-Objective Optimization using Grid Computing. - Antonio J. Nebro; Enrique Alba 001; Francisco Luna 001 (Soft Comput., 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)

Metaheuristics for solving a real-world frequency assignment problem in GSM networks. - Francisco Luna 001; César Estébanez; Coromoto León; José Manuel Chaves-González; Enrique Alba 001; Ricardo Aler; Carlos Segura; Miguel A. Vega-Rodríguez; Antonio J. Nebro; José María Valls; Gara Miranda; Juan Antonio Gómez Pulido (GECCO, 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)

DNA fragment assembly using a grid-based genetic algorithm. - Antonio J. Nebro; Gabriel Luque; Francisco Luna 001; Enrique Alba 001 (Comput. Oper. Res., 2008)

PVM-Distributed Implementation of the Radiance Code - Francisco R. Villatoro; Antonio J. Nebro; Jose E. Fernández (CoRR, 2008)

Guest Editorial. - Enrique Alba 001; El-Ghazali Talbi; Antonio J. Nebro (J. Heuristics, 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)

Search Intensification in Metaheuristics for Solving the Automatic Frequency Problem in GSM. - Francisco Luna 001; Enrique Alba 001; Antonio J. Nebro; Salvador Pedraza (Recent Advances in Evolutionary Computation for Combinatorial Optimization, 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)

Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. - Carlos Segura; Alejandro Cervantes; Antonio J. Nebro; María Dolores Jaraíz-Simón; Eduardo Segredo; Sandra García-Rodríguez; Francisco Luna 001; Juan Antonio Gómez Pulido; Gara Miranda; Cristóbal Luque; Enrique Alba 001; Miguel Ángel Vega Rodríguez; et al. (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)

Why Is Optimization Difficult?. - Thomas Weise 001; Michael Zapf; Raymond Chiong; Antonio J. Nebro (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)

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)

Using multi-objective metaheuristics to solve the software project scheduling problem. - Francisco Chicano; Francisco Luna 001; Antonio J. Nebro; Enrique Alba 001 (GECCO, 2011)

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)

Optimization algorithms for large-scale real-world instances of the frequency assignment problem. - Francisco Luna 001; César Estébanez; Coromoto León; José Manuel Chaves-González; Antonio J. Nebro; Ricardo Aler; Carlos Segura; Miguel A. Vega-Rodríguez; Enrique Alba 001; José María Valls; Gara Miranda; Juan Antonio Gómez Pulido (Soft Comput., 2011)

Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial Optimization. - Bernabé Dorronsoro; Grégoire Danoy; Pascal Bouvry; Antonio J. Nebro (Intelligent Decision Systems in Large-Scale Distributed Environments, 2011)

Multi-objective optimization using metaheuristics: non-standard algorithms. - El-Ghazali Talbi; Matthieu Basseur; Antonio J. Nebro; Enrique Alba 001 (Int. Trans. Oper. Res., 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)

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)

Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. - Bernabé Dorronsoro; Grégoire Danoy; Antonio J. Nebro; Pascal Bouvry (Comput. Oper. Res., 2013)

Metaheurísticas multiobjetivo adaptativas. - Mirialys Machin Navas; Antonio José Nebro (Computación y Sistemas, 2013)

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)

jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework. - Esteban López-Camacho; María Jesús García-Godoy; Antonio J. Nebro; José Francisco Aldana Montes (Bioinform., 2014)

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

Solving molecular flexible docking problems with metaheuristics: A comparative study. - Esteban López-Camacho; María Jesús García-Godoy; José García-Nieto; Antonio J. Nebro; José Francisco Aldana Montes (Appl. Soft Comput., 2015)

A New Multi-objective Approach for Molecular Docking Based on RMSD and Binding Energy. - Esteban López-Camacho; María Jesús García-Godoy; José García-Nieto; Antonio J. Nebro; José Francisco Aldana Montes (AlCoB, 2016)

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)

Multi-objective Big Data Optimization with jMetal and Spark. - Cristóbal Barba-González; José García-Nieto; Antonio J. Nebro; José Francisco Aldana Montes (EMO, 2017)

Design and architecture of the jMetaISP framework. - Antonio J. Nebro; Cristóbal Barba-González; José García-Nieto; José A. Cordero; José Francisco Aldana Montes (GECCO (Companion), 2017)

A Multi-objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics. - Cristian Zambrano-Vega; Antonio J. Nebro; José García-Nieto; José Francisco Aldana Montes (IWBBIO (2), 2017)

M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic. - Cristian Zambrano-Vega; Antonio J. Nebro; José García-Nieto; José Francisco Aldana Montes (Bioinform., 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)

Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment. - Cristian Zambrano-Vega; Antonio J. Nebro; José García-Nieto; José Francisco Aldana Montes (Prog. Artif. Intell., 2017)

Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics. - Eneko Osaba; Javier Del Ser; Miren Nekane Bilbao; Pedro López-García 002; Antonio J. Nebro (BIOMA, 2018)

MORPHY: A Multiobjective Software Tool for Phylogenetic Inference of Protein Coded Sequences. - Cristian Zambrano-Vega; Antonio J. Nebro; José Francisco Aldana Montes; Byron Oviedo (ICITS, 2018)

Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform. - Cristóbal Barba-González; José García-Nieto; Antonio Benítez-Hidalgo; Antonio J. Nebro; José Francisco Aldana Montes (IDC, 2018)

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)

Multi-objective Metaheuristics for a Flexible Ligand-Macromolecule Docking Problem in Computational Biology. - Esteban López-Camacho; María Jesús García-Godoy; Javier Del Ser; Antonio J. Nebro; José Francisco Aldana Montes (IDC, 2018)

Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification. - Jesus Para; Javier Del Ser; Aitor Aguirre; Antonio J. Nebro (IDC, 2018)

Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs. - Eneko Osaba; Javier Del Ser; Antonio J. Nebro; Ibai Lana; Miren Nekane Bilbao; Javier J. Sánchez Medina (ITSC, 2018)

Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods. - Cristóbal Barba-González; Vesa Ojalehto; José García-Nieto; Antonio J. Nebro; Kaisa Miettinen; José Francisco Aldana Montes (PPSN (1), 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)

Tutorials at PPSN 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; et al. (PPSN (2), 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)

Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization. - Javier Moreno 004; Daniel Rodríguez 001; Antonio J. Nebro; José Antonio Lozano 001 (CoRR, 2018)

InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. - Antonio J. Nebro; Ana Belen Ruiz; Cristóbal Barba-González; José García-Nieto; Mariano Luque; José Francisco Aldana Montes (Swarm Evol. Comput., 2018)

Automatic configuration of NSGA-II with jMetal and irace. - Antonio J. Nebro; Manuel López-Ibáñez 001; Cristóbal Barba-González; José García-Nieto (GECCO (Companion), 2019)

Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives. - María Jesús García-Godoy; Esteban López-Camacho; José García-Nieto; Javier Del Ser; Antonio J. Nebro; José Francisco Aldana Montes (Appl. Soft Comput., 2019)

Inference of gene regulatory networks with multi-objective cellular genetic algorithm. - José García-Nieto; Antonio J. Nebro; José Francisco Aldana Montes (Comput. Biol. Chem., 2019)

Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. - Jesus Para; Javier Del Ser; Antonio J. Nebro; Urko Zurutuza; Francisco Herrera (Eng. Appl. Artif. Intell., 2019)

BIGOWL: Knowledge centered Big Data analytics. - Cristóbal Barba-González; José García-Nieto; María del Mar Roldán García; Ismael Navas-Delgado; Antonio J. Nebro; José Francisco Aldana Montes (Expert Syst. Appl., 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)

jMetalPy: A Python framework for multi-objective optimization with metaheuristics. - Antonio Benítez-Hidalgo; Antonio J. Nebro; José García-Nieto; Izaskun Oregi; Javier Del Ser (Swarm Evol. Comput., 2019)

Multi-objective ligand-protein docking with particle swarm optimizers. - José García-Nieto; Esteban López-Camacho; María Jesús García-Godoy; Antonio J. Nebro; José Francisco Aldana Montes (Swarm Evol. Comput., 2019)

Sequoya: multiobjective multiple sequence alignment in Python. - Antonio Benítez-Hidalgo; Antonio J. Nebro; José Francisco Aldana Montes (Bioinform., 2020)

On the design of a framework integrating an optimization engine with streaming technologies. - Cristóbal Barba-González; Antonio J. Nebro; Antonio Benítez-Hidalgo; José García-Nieto; José Francisco Aldana Montes (Future Gener. Comput. Syst., 2020)

A multi-objective interactive dynamic particle swarm optimizer. - Cristóbal Barba-González; Antonio J. Nebro; José García-Nieto; José Francisco Aldana Montes (Prog. Artif. Intell., 2020)

Optimizing ligand conformations in flexible protein targets: a multi-objective strategy. - Esteban López-Camacho; María Jesús García-Godoy; José García-Nieto; Antonio J. Nebro; José Francisco Aldana Montes (Soft Comput., 2020)

MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. - Eneko Osaba; Javier Del Ser; Aritz D. Martinez; Jesus L. Lobo; Antonio J. Nebro; Xin-She Yang 001 (SSCI, 2021)

Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers. - Sandro Hurtado; José García-Nieto; Ismael Navas-Delgado; Antonio J. Nebro; José Francisco Aldana Montes (Appl. Intell., 2021)

Injecting domain knowledge in multi-objective optimization problems: A semantic approach. - Cristóbal Barba-González; Antonio J. Nebro; José García-Nieto; María del Mar Roldán García; Ismael Navas-Delgado; José Francisco Aldana Montes (Comput. Stand. Interfaces, 2021)

TITAN: A knowledge-based platform for Big Data workflow management. - 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 (Knowl. Based Syst., 2021)

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. - Eneko Osaba; Esther Villar-Rodriguez; Javier Del Ser; Antonio J. Nebro; Daniel Molina; Antonio LaTorre; Ponnuthurai N. Suganthan; Carlos A. Coello Coello; Francisco Herrera (Swarm Evol. Comput., 2021)

Merge Nondominated Sorting Algorithm for Many-Objective Optimization. - Javier Moreno 004; Daniel Rodríguez 001; Antonio J. Nebro; José Antonio Lozano 001 (IEEE Trans. Cybern., 2021)

Automatic Design of Multi-objective Particle Swarm Optimizers. - Daniel Doblas; Antonio J. Nebro; Manuel López-Ibáñez 001; José García-Nieto; Carlos A. Coello Coello (ANTS Conference, 2022)

Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm. - Jesús Para; Javier Del Ser; Antonio J. Nebro (OLA, 2023)

On the performance of SQL scalable systems on Kubernetes: a comparative study. - Cristian Cardas; José F. Aldana-Martín; Antonio M. Burgueño-Romero; Antonio J. Nebro; Jose Manuel Mateos; Juan Jesús Sánchez Sánchez (Clust. Comput., 2023)

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

Experiences Using Julia for Implementing Multi-objective Evolutionary Algorithms. - Antonio J. Nebro; Xavier Gandibleux (MIC (2), 2024)

TM-MSAligner: A Tool for Multiple Sequence Alignment of Transmembrane Proteins. - Joel Cedeño-Muñoz; Cristian Zambrano-Vega; Antonio J. Nebro (ICCS (4), 2024)

MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms. - José F. Aldana-Martín; María del Mar Roldán García; Antonio J. Nebro; José Francisco Aldana Montes (Inf. Sci., 2024)

On the automatic design of multi-objective particle swarm optimizers: experimentation and analysis. - Antonio J. Nebro; Manuel López-Ibáñez 001; José García-Nieto; Carlos A. Coello Coello (Swarm Intell., 2024)