Ramón
Doallo Biempica
Catedrático de Universidade
David
Rodríguez Penas
Publicacións nas que colabora con David Rodríguez Penas (12)
2019
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Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology
Journal of Supercomputing, Vol. 75, Núm. 7, pp. 3471-3498
2018
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Multimethod optimization for reverse engineering of complex biological networks
ACM International Conference Proceeding Series
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Multimethod optimization in the cloud: A case-study in systems biology modelling
Concurrency Computation , Vol. 30, Núm. 12
2017
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A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology
Cluster Computing, Vol. 20, Núm. 3, pp. 1937-1950
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A novel distributed multimethod to solve challenging global optimization problems in Computational Systems Biology
Actas XIII Congreso Galego de Estatística e Investigación de Operacións: Ferrol, do 26 ao 28 de outubro de 2017
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A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology
PLoS ONE, Vol. 12, Núm. 8
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Evaluation of parallel differential evolution implementations on MapReduce and spark
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Parameter estimation in large-scale systems biology models: A parallel and self-adaptive cooperative strategy
BMC Bioinformatics, Vol. 18, Núm. 1
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Using the cloud for parameter estimation problems: comparing spark vs MPI with a case-study
Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017
2015
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Enhanced parallel differential evolution algorithm for problems in computational systems biology
Applied Soft Computing Journal, Vol. 33, pp. 86-99
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Parallel metaheuristics in computational biology: An asynchronous Cooperative enhanced Scatter Search method
Procedia Computer Science
2014
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A parallel differential evolution algorithm for parameter estimation in dynamic models of biological systems
Advances in Intelligent Systems and Computing