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ORCIDMiguel A. Vega-Rodríguez
Miguel Ángel Vega Rodríguez
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- affiliation: University of Extremadura, Department of Computers and Communications Technologies
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2020 – today
- 2023
[j174]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
A multi-objective butterfly optimization algorithm for protein encoding. Appl. Soft Comput. 139: 110269 (2023)- [j173]Jesús M. Sánchez-Gómez
, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
A new multi-objective evolutionary algorithm for citation-based summarization: Comprehensive analysis of the generated summaries. Eng. Appl. Artif. Intell. 119: 105757 (2023) - [j172]José A. Concha-Carrasco, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
A multi-objective artificial bee colony approach for profit-aware recommender systems. Inf. Sci. 625: 476-488 (2023) - [j171]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Theory and practice of natural computing: tenth edition. Neural Comput. Appl. 35(9): 6333 (2023) - 2022
- [j170]Irene Carrasco-Santano, Miguel A. Vega-Rodríguez:
MOMEA: Multi-Objective Mutation-based Evolutionary Algorithm for the alignment of protein networks. Appl. Soft Comput. 127: 109366 (2022) - [j169]José M. Granado Criado, Álvaro Rubio-Largo, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Multiobjective evolutionary computation for high-order genetic interactions. Appl. Soft Comput. 128: 109538 (2022) - [j168]Manuel Menor-Flores, Miguel A. Vega-Rodríguez, Felipe Molina:
Computational design of phage cocktails based on phage-bacteria infection networks. Comput. Biol. Medicine 142: 105186 (2022) - [j167]María Victoria Díaz-Galián, Miguel A. Vega-Rodríguez, Felipe Molina:
PhageCocktail: An R package to design phage cocktails from experimental phage-bacteria infection networks. Comput. Methods Programs Biomed. 221: 106865 (2022) - [j166]Carlos J. Pérez Sánchez, Fernando Calle-Alonso, Miguel A. Vega-Rodríguez:
Learning analytics to predict students' performance: A case study of a neurodidactics-based collaborative learning platform. Educ. Inf. Technol. 27(9): 12913-12938 (2022) - [j165]Veredas Coleto-Alcudia, Miguel A. Vega-Rodríguez:
A multi-objective optimization approach for the identification of cancer biomarkers from RNA-seq data. Expert Syst. Appl. 193: 116480 (2022) - [j164]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study. Expert Syst. Appl. 198: 116769 (2022) - [j163]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics. Future Gener. Comput. Syst. 127: 208-224 (2022) - [j162]María Victoria Díaz-Galián, Miguel A. Vega-Rodríguez:
Many-objective approach based on problem-aware mutation operators for protein encoding. Inf. Sci. 613: 376-400 (2022) - [j161]Manuel Menor-Flores, Miguel A. Vega-Rodríguez:
Decomposition-based multi-objective optimization approach for PPI network alignment. Knowl. Based Syst. 243: 108527 (2022) - [j160]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Preface. Nat. Comput. 21(4): 603 (2022) - [j159]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data. IEEE Trans. Cybern. 52(5): 3577-3591 (2022) - [j158]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallel multi-objective optimization approaches for protein encoding. J. Supercomput. 78(4): 5118-5148 (2022) - 2021
- [j157]Veredas Coleto-Alcudia, Miguel A. Vega-Rodríguez:
A metaheuristic multi-objective optimization method for dynamical network biomarker identification as pre-disease stage signal. Appl. Soft Comput. 109: 107544 (2021) - [j156]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Sentiment-oriented query-focused text summarization addressed with a multi-objective optimization approach. Appl. Soft Comput. 113(Part): 107915 (2021) - [j155]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization. Expert Syst. Appl. 169: 114510 (2021) - [j154]Víctor Berrocal-Plaza, Miguel A. Vega-Rodríguez:
Analysis and comparison of mobility management strategies in public land mobile networks from a multiobjective perspective. J. Netw. Comput. Appl. 177: 102967 (2021) - [j153]Carlos González-Santos, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Addressing topic modeling with a multi-objective optimization approach based on swarm intelligence. Knowl. Based Syst. 225: 107113 (2021) - [j152]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Theory and practice of natural computing: seventh edition. Soft Comput. 25(3): 1681-1682 (2021) - [j151]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology: Sixth Edition. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 1 (2021) - [j150]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology: Seventh Edition. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2059-2060 (2021) - [e15]Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis J. Wheeler:
Algorithms for Computational Biology - 8th International Conference, AlCoB 2021, Missoula, MT, USA, June 7-11, 2021, Proceedings. Lecture Notes in Computer Science 12715, Springer 2021, ISBN 978-3-030-74431-1 [contents] - [e14]Claus Aranha, Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Theory and Practice of Natural Computing - 10th International Conference, TPNC 2021, Tsukuba, Japan, December 7-10, 2021, Proceedings. Lecture Notes in Computer Science 13082, Springer 2021, ISBN 978-3-030-90424-1 [contents] - 2020
- [j149]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
A decomposition-based multi-objective optimization approach for extractive multi-document text summarization. Appl. Soft Comput. 91: 106231 (2020) - [j148]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Experimental analysis of multiple criteria for extractive multi-document text summarization. Expert Syst. Appl. 140 (2020) - [j147]José M. Granado Criado, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
A multi-objective optimization procedure for solving the high-order epistasis detection problem. Expert Syst. Appl. 142 (2020) - [j146]Veredas Coleto-Alcudia, Miguel A. Vega-Rodríguez:
Artificial Bee Colony algorithm based on Dominance (ABCD) for a hybrid gene selection method. Knowl. Based Syst. 205: 106323 (2020) - [j145]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Un estudio de los métodos de reducción del frente de Pareto a una única solución aplicado al problema de resumen extractivo multi-documento. Proces. del Leng. Natural 65: 21-28 (2020) - [j144]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology: Fifth Edition. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 1 (2020) - [j143]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Antonio Zahinos-Márquez, Leonel Sousa:
GPU acceleration of Fitch's parsimony on protein data: from Kepler to Turing. J. Supercomput. 76(12): 9827-9853 (2020) - [e13]Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis J. Wheeler:
Algorithms for Computational Biology - 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020, Proceedings. Lecture Notes in Computer Science 12099, Springer 2020, ISBN 978-3-030-42265-3 [contents]Due to COVID-19 postponed to AlCoB 2021. - [e12]Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Miin-Shen Yang:
Theory and Practice of Natural Computing - 9th International Conference, TPNC 2020, Taoyuan, Taiwan, December 7-9, 2020, Proceedings. Lecture Notes in Computer Science 12494, Springer 2020, ISBN 978-3-030-62999-1 [contents]
2010 – 2019
- 2019
- [j142]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado Criado:
Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein. Appl. Soft Comput. 74: 90-98 (2019) - [j141]Dimas de la Fuente, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Identifying key players in large social networks by using a multi-objective artificial bee colony optimization approach. Appl. Soft Comput. 77: 176-187 (2019) - [j140]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Theory and practice of natural computing: Sixth edition. Biosyst. 186 (2019) - [j139]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes. Expert Syst. Appl. 136: 83-93 (2019) - [j138]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Mercedes Mollá:
Modeling low-resolution galaxy spectral energy distribution with evolutionary algorithms. Neurocomputing 326-327: 28-38 (2019) - [j137]Miguel A. Vega-Rodríguez, José M. Granado Criado:
Parallel Programming in Bioinformatics: Some Interesting Approaches. Int. J. Parallel Program. 47(2): 293-295 (2019) - [j136]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios. Inf. Sci. 485: 281-300 (2019) - [j135]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search. Inf. Sci. 500: 173-189 (2019) - [j134]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Preface. J. Comput. Biol. 26(9): 891-892 (2019) - [j133]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Jorge Vicente-Viola, Leonel Sousa:
Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony. J. Parallel Distributed Comput. 126: 67-81 (2019) - [j132]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Parallelizing a multi-objective optimization approach for extractive multi-document text summarization. J. Parallel Distributed Comput. 134: 166-179 (2019) - [j131]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Comparison of automatic methods for reducing the Pareto front to a single solution applied to multi-document text summarization. Knowl. Based Syst. 174: 123-136 (2019) - [j130]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Theory and practice of natural computing: fifth edition. Soft Comput. 23(5): 1421 (2019) - [j129]Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology: Third Edition. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 701-702 (2019) - [j128]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective Metaheuristic to Design RNA Sequences. IEEE Trans. Evol. Comput. 23(1): 156-169 (2019) - [j127]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing. J. Supercomput. 75(7): 3369-3373 (2019) - [j126]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios. IEEE Trans. Parallel Distributed Syst. 30(1): 63-78 (2019) - [c170]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Analysis of MOEA/D Approaches for Inferring Ancestral Relationships. HAIS 2019: 168-180 - [e11]Ian H. Holmes, Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Berkeley, CA, USA, May 28-30, 2019, Proceedings. Lecture Notes in Computer Science 11488, Springer 2019, ISBN 978-3-030-18173-4 [contents] - [e10]Carlos Martín-Vide, Geoffrey T. Pond, Miguel A. Vega-Rodríguez:
Theory and Practice of Natural Computing - 8th International Conference, TPNC 2019, Kingston, ON, Canada, December 9-11, 2019, Proceedings. Lecture Notes in Computer Science 11934, Springer 2019, ISBN 978-3-030-34499-3 [contents] - 2018
- [j125]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective characteristic-based framework for very-large multiple sequence alignment. Appl. Soft Comput. 69: 719-736 (2018) - [j124]Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Parallelism in computational biology. Int. J. High Perform. Comput. Appl. 32(3): 317-320 (2018) - [j123]Miguel A. Vega-Rodríguez, José M. Granado Criado:
Preface to the Special Issue: Parallel Computing in Computational Biology: A Technological Point of View. J. Comput. Biol. 25(8): 837-840 (2018) - [j122]Álvaro Rubio-Largo, Mauro Castelli, Leonardo Vanneschi, Miguel A. Vega-Rodríguez:
A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment. J. Comput. Biol. 25(9): 1009-1022 (2018) - [j121]Rodrigo Martín-Moreno, Miguel A. Vega-Rodríguez:
Multi-Objective Artificial Bee Colony algorithm applied to the bi-objective orienteering problem. Knowl. Based Syst. 154: 93-101 (2018) - [j120]Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach. Knowl. Based Syst. 159: 1-8 (2018) - [j119]Dimas de la Fuente, Miguel A. Vega-Rodríguez, Carlos J. Pérez:
Automatic selection of a single solution from the Pareto front to identify key players in social networks. Knowl. Based Syst. 160: 228-236 (2018) - [j118]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Searching for common patterns on protein sequences by means of a parallel hybrid honey-bee mating optimization algorithm. Parallel Comput. 76: 1-17 (2018) - [j117]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Swarm intelligence for optimizing the parameters of multiple sequence aligners. Swarm Evol. Comput. 42: 16-28 (2018) - [j116]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
A Characteristic-Based Framework for Multiple Sequence Aligners. IEEE Trans. Cybern. 48(1): 41-51 (2018) - [j115]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data. IEEE Trans. Evol. Comput. 22(6): 879-893 (2018) - [j114]César Gómez-Martín, Miguel A. Vega-Rodríguez:
Optimization of resources in parallel systems using a multiobjective artificial bee colony algorithm. J. Supercomput. 74(8): 4019-4036 (2018) - [c169]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors. BIBM 2018: 753-756 - [c168]Fernando Calle-Alonso, Vicente Botón-Fernández, Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez Sánchez, Daniel de la Mata Lara:
Word Clouds as a Learning Analytic Tool for the Cooperative e-Learning Platform NeuroK. CSEDU (2) 2018: 508-513 - [c167]Fernando Calle-Alonso, Vicente Botón-Fernández, Dimas de la Fuente, Carlos J. Pérez Sánchez, Miguel A. Vega-Rodríguez, Daniel de la Mata Lara:
Graphs and Key Players in an Educational Social Network. CSEDU (2) 2018: 523-527 - [c166]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology. PBio@EuroMPI 2018: 3-10 - [e9]Jesper Jansson, Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology - 5th International Conference, AlCoB 2018, Hong Kong, China, June 25-26, 2018, Proceedings. Lecture Notes in Computer Science 10849, Springer 2018, ISBN 978-3-319-91937-9 [contents] - [e8]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado Criado, Rosa M. Badia:
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, PBio@EuroMPI 2018, Barcelona, Spain, September 23, 2018. ACM 2018 [contents] - [e7]David Fagan, Carlos Martín-Vide, Michael O'Neill, Miguel A. Vega-Rodríguez:
Theory and Practice of Natural Computing - 7th International Conference, TPNC 2018, Dublin, Ireland, December 12-14, 2018, Proceedings. Lecture Notes in Computer Science 11324, Springer 2018, ISBN 978-3-030-04069-7 [contents] - 2017
- [j113]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallelism-based approaches in computational biology: a view from diverse case studies. Clust. Comput. 20(3): 1865-1867 (2017) - [j112]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias:
Parallel evaluation of nonseparable functions by evolutionary algorithms on GPU. Concurr. Comput. Pract. Exp. 29(5) (2017) - [j111]Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, Miguel A. Vega-Rodríguez:
Accelerating the phylogenetic parsimony function on heterogeneous systems. Concurr. Comput. Pract. Exp. 29(8) (2017) - [j110]Víctor Berrocal-Plaza, Miguel A. Vega-Rodríguez, Juan M. Sánchez-Pérez:
A fine-grained parallel approach for the registration areas optimization. Log. J. IGPL 25(6): 862-876 (2017) - [j109]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Using biological knowledge for multiple sequence aligner decision making. Inf. Sci. 420: 278-298 (2017) - [j108]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences. J. Comput. Biol. 24(11): 1144-1154 (2017) - [j107]Alejandro Hidalgo-Paniagua, Miguel A. Vega-Rodríguez, Joaquin Ferruz, Nieves Pavón:
Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach. Soft Comput. 21(4): 949-964 (2017) - [j106]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories. Soft Comput. 21(19): 5601-5620 (2017) - [j105]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
A hybrid MPI/OpenMP parallel implementation of NSGA-II for finding patterns in protein sequences. J. Supercomput. 73(6): 2285-2312 (2017) - [j104]José M. Granado Criado, Miguel A. Vega-Rodríguez:
Hardware coprocessors for high-performance symmetric cryptography. J. Supercomput. 73(6): 2456-2482 (2017) - [j103]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study. IEEE Trans. Parallel Distributed Syst. 28(7): 1825-1838 (2017) - [c165]Iván Méndez-Jiménez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Ignacio Sevilla-Noarbe, Eusebio Sánchez Álvaro, David Alonso, Miguel A. Vega-Rodríguez:
An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU. CCGrid 2017: 913-920 - [c164]Fernando Calle-Alonso, Agustín Cuenca-Guevara, Daniel de la Mata Lara, Jesús M. Sánchez-Gómez, Miguel A. Vega-Rodríguez, Carlos J. Pérez Sánchez:
NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience. CSEDU (1) 2017: 550-555 - [c163]Daniel Gallego-Sánchez, José M. Granado Criado, Sergio Santander-Jiménez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez:
Parallel Multi-objective Optimization for High-Order Epistasis Detection. ICA3PP 2017: 523-532 - [e6]Daniel Figueiredo, Carlos Martín-Vide, Diogo Pratas, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology - 4th International Conference, AlCoB 2017, Aveiro, Portugal, June 5-6, 2017, Proceedings. Lecture Notes in Computer Science 10252, Springer 2017, ISBN 978-3-319-58162-0 [contents] - [e5]Frédéric Desprez, Pierre-François Dutot, Christos Kaklamanis, Loris Marchal, Korbinian Molitorisz, Laura Ricci, Vittorio Scarano, Miguel A. Vega-Rodríguez, Ana Lucia Varbanescu, Sascha Hunold, Stephen L. Scott, Stefan Lankes, Josef Weidendorfer:
Euro-Par 2016: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Grenoble, France, August 24-26, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10104, Springer 2017, ISBN 978-3-319-58942-8 [contents] - [e4]Carlos Martín-Vide, Roman Neruda, Miguel A. Vega-Rodríguez:
Theory and Practice of Natural Computing - 6th International Conference, TPNC 2017, Prague, Czech Republic, December 18-20, 2017, Proceedings. Lecture Notes in Computer Science 10687, Springer 2017, ISBN 978-3-319-71068-6 [contents] - 2016
- [j102]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
Hybrid multiobjective artificial bee colony for multiple sequence alignment. Appl. Soft Comput. 41: 157-168 (2016) - [j101]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
A Comparative Study of Different Motif Occurrence Models Applied to a Hybrid Multiobjective Shuffle Frog Leaping Algorithm. Comput. J. 59(3): 384-402 (2016) - [j100]Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Miguel A. Vega-Rodríguez:
Bin recycling strategy for improving the histogram precision on GPU. Comput. Phys. Commun. 204: 55-63 (2016) - [j99]Alejandro Hidalgo-Paniagua, Miguel A. Vega-Rodríguez, Joaquín Ferruz Melero:
Applying the MOVNS (multi-objective variable neighborhood search) algorithm to solve the path planning problem in mobile robotics. Expert Syst. Appl. 58: 20-35 (2016) - [j98]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference. Inf. Sci. 330: 293-314 (2016) - [j97]César Gómez-Martín, Miguel A. Vega-Rodríguez, José Luis González Sánchez:
Fattened backfilling: An improved strategy for job scheduling in parallel systems. J. Parallel Distributed Comput. 97: 69-77 (2016) - [j96]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
A Hybrid Multiobjective Memetic Metaheuristic for Multiple Sequence Alignment. IEEE Trans. Evol. Comput. 20(4): 499-514 (2016) - [j95]Víctor Berrocal-Plaza, Miguel A. Vega-Rodríguez, Juan M. Sánchez-Pérez:
An Efficient Way of Assigning Paging Areas by Using Mobility Models. IEEE/ACM Trans. Netw. 24(6): 3726-3739 (2016) - [c162]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Improving Multiobjective Phylogenetic Searches by Using a Parallel \varepsilon -Dominance Based Adaptation of the Firefly Algorithm. Euro-Par Workshops 2016: 384-396 - [c161]Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Miguel A. Vega-Rodríguez, Ignacio Sevilla-Noarbe, Antonio Gómez-Iglesias:
Bin Recycling Strategy for an Accuracy-Aware Implementation of Two-Point Angular Correlation Function on GPU. ICA3PP 2016: 503-511 - [e3]María Botón-Fernández, Carlos Martín-Vide, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology - Third International Conference, AlCoB 2016, Trujillo, Spain, June 21-22, 2016, Proceedings. Lecture Notes in Computer Science 9702, Springer 2016, ISBN 978-3-319-38826-7 [contents] - [e2]Carlos Martín-Vide, Takaaki Mizuki, Miguel A. Vega-Rodríguez:
Theory and Practice of Natural Computing - 5th International Conference, TPNC 2016, Sendai, Japan, December 12-13, 2016, Proceedings. Lecture Notes in Computer Science 10071, 2016, ISBN 978-3-319-49000-7 [contents] - 2015
- [j94]José Manuel Lanza-Gutiérrez, Juan Antonio Gómez Pulido, Miguel A. Vega-Rodríguez:
A New Realistic Approach for the Relay Node Placement Problem in Wireless Sensor Networks by Means of Evolutionary Computation. Ad Hoc Sens. Wirel. Networks 26(1-4): 193-209 (2015) - [j93]Víctor Berrocal-Plaza, Miguel A. Vega-Rodríguez, Juan M. Sánchez-Pérez:
A multiobjective study of the Gaussian cluster paging in the Reporting Cells strategy. Appl. Soft Comput. 28: 332-344 (2015) - [j92]Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez:
Effect of Data Layout in the Evaluation Time of Non-Separable Functions on GPU. Comput. Informatics 34(4): 725-745 (2015) - [j91]María Arsuaga-Ríos, Miguel A. Vega-Rodríguez:
Multiobjective Small-World Optimization for Energy Saving in Grid Environments. Comput. J. 58(3): 432-447 (2015) - [j90]