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ORCIDDavid L. González-Álvarez
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2010 – 2019
- 2018
[j21]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)- 2017
- [j20]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) - 2016
- [j19]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) - [j18]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) - [j17]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) - 2015
- [j16]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
A Parallel Multiobjective Approach based on Honey Bees for Traffic Grooming in Optical Networks. Comput. J. 58(9): 2171-2191 (2015) - [j15]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
Multiobjective swarm intelligence for the traffic grooming problem. Comput. Optim. Appl. 60(2): 479-511 (2015) - [j14]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Multiobjective optimization algorithms for motif discovery in DNA sequences. Genet. Program. Evolvable Mach. 16(2): 167-209 (2015) - [j13]Miguel A. Vega-Rodríguez, David L. González-Álvarez:
Parallelism in bioinformatics: A view from different parallelism-based technologies. Parallel Comput. 42: 1-3 (2015) - [j12]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Finding Patterns in Protein Sequences by Using a Hybrid Multiobjective Teaching Learning Based Optimization Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 656-666 (2015) - [c15]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
Parallel H4MSA for Multiple Sequence Alignment. TrustCom/BigDataSE/ISPA (3) 2015: 242-247 - 2014
- [j11]Francisco Luna, David L. González-Álvarez, Francisco Chicano, Miguel A. Vega-Rodríguez:
The software project scheduling problem: A scalability analysis of multi-objective metaheuristics. Appl. Soft Comput. 15: 136-148 (2014) - [j10]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
An improved multiobjective approach inspired by the flashing behaviour of fireflies for Traffic Grooming in optical WDM networks. Appl. Soft Comput. 21: 617-636 (2014) - [j9]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
Designing a fine-grained parallel differential evolution with Pareto tournaments for solving an optical networking problem. Concurr. Comput. Pract. Exp. 26(11): 1908-1934 (2014) - [j8]Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, David L. González-Álvarez:
Performance assessment of multiobjective approaches in optical Traffic Grooming. J. Netw. Comput. Appl. 41: 319-350 (2014) - [j7]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Convergence analysis of some multiobjective evolutionary algorithms when discovering motifs. Soft Comput. 18(5): 853-869 (2014) - [j6]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Parallelizing and optimizing a hybrid differential evolution with Pareto tournaments for discovering motifs in DNA sequences. J. Supercomput. 70(2): 880-905 (2014) - 2013
- [j5]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Comparing multiobjective swarm intelligence metaheuristics for DNA motif discovery. Eng. Appl. Artif. Intell. 26(1): 314-326 (2013) - [j4]David L. González-Álvarez, Miguel A. Vega-Rodríguez:
Analysing the scalability of multiobjective evolutionary algorithms when solving the motif discovery problem. J. Glob. Optim. 57(2): 467-497 (2013) - [j3]David L. González-Álvarez, Miguel A. Vega-Rodríguez:
A parallel cooperative team of multiobjective evolutionary algorithms for motif discovery. J. Supercomput. 66(3): 1576-1612 (2013) - [c14]David L. González-Álvarez, Miguel A. Vega-Rodríguez:
A Multiobjective SFLA-Based Technique for Predicting Motifs in DNA Sequences. EUROCAST (1) 2013: 235-242 - [c13]David L. González-Álvarez, Miguel A. Vega-Rodríguez:
Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding. EvoBIO 2013: 68-79 - [c12]David L. González-Álvarez, Miguel A. Vega-Rodríguez:
Designing a novel hybrid swarm based multiobjective evolutionary algorithm for finding DNA motifs. GECCO (Companion) 2013: 1571-1578 - [c11]David L. González-Álvarez, Miguel A. Vega-Rodríguez:
Parallelizing a hybrid multiobjective differential evolution for identifying cis-regulatory elements. EuroMPI 2013: 223-228 - 2012
- [j2]David L. González-Álvarez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, Sónia M. Almeida-Luz, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Solving the reporting cells problem by using a parallel team of evolutionary algorithms. Log. J. IGPL 20(4): 722-731 (2012) - [j1]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Part C 42(6): 913-925 (2012) - [c10]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs. EvoBIO 2012: 110-121 - [c9]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
A Parallel Multi-Core Team of Multiobjective Evolutionary Algorithms to Discover DNA Motifs. HPCC-ICESS 2012: 17-24 - 2011
- [c8]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Discovering DNA Motifs with a Parallel Shared Memory Differential Evolution. EUROCAST (1) 2011: 232-239 - [c7]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm. EvoBio 2011: 89-100 - [c6]Francisco Luna, David L. González-Álvarez, Francisco Chicano, Miguel A. Vega-Rodríguez:
On the scalability of multi-objective metaheuristics for the software scheduling problem. ISDA 2011: 1110-1115 - [c5]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Applying a Multiobjective Gravitational Search Algorithm (MO-GSA) to Discover Motifs. IWANN (2) 2011: 372-379 - 2010
- [c4]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Solving the motif discovery problem by using Differential Evolution with Pareto Tournaments. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Using a Parallel Team of Multiobjective Evolutionary Algorithms to Solve the Motif Discovery Problem. DCAI 2010: 569-576 - [c2]David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
A Multiobjective Variable Neighborhood Search for Solving the Motif Discovery Problem. SOCO 2010: 39-46 - [c1]Álvaro Rubio-Largo, David L. González-Álvarez, Miguel A. Vega-Rodríguez, Sónia M. Almeida-Luz, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
A Parallel Cooperative Evolutionary Strategy for Solving the Reporting Cells Problem. SOCO 2010: 71-78
Coauthor Index
aka: Juan Manuel Sánchez-Pérez
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