Xoán Carlos
Pardo Martínez
Profesor Contratado Doctor
Julio
Rodríguez Banga
Publicaciones en las que colabora con Julio Rodríguez Banga (12)
2024
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Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
Swarm and Evolutionary Computation, Vol. 85
2022
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An efficient ant colony optimization framework for HPC environments
Applied Soft Computing, Vol. 114
2020
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Spark implementation of the enhanced Scatter Search metaheuristic: Methodology and assessment
Swarm and Evolutionary Computation, Vol. 59
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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Implementing cloud-based parallel metaheuristics: an overview
Journal of Computer Science and Technology, Vol. 18, Núm. 3
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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
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Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark
International Journal of High Performance Computing Applications, Vol. 32, Núm. 5, pp. 693-705
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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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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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
2016
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Implementing parallel differential evolution on spark
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)