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Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference

Information sciences, 2016-02, Vol.330, p.293-314

2016

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Fourth-Order Exhaustive Epistasis Detection for the xPU Era

50th International Conference on Parallel Processing, 2021, p.1-10

2021

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Accelerating the phylogenetic parsimony function on heterogeneous systems

Concurrency and computation, 2017-04, Vol.29 (8), p.np-n/a

2017

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A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference

Concurrency and computation, 2015-03, Vol.27 (3), p.702-734

2015

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A multi-objective butterfly optimization algorithm for protein encoding

Applied soft computing, 2023-05, Vol.139, p.110269, Article 110269

2023

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GADPO: Genetic Algorithm based on Dominance for Primer Optimization

Expert systems with applications, 2024-03, Vol.238, p.122206, Article 122206

2024

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Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics

Future generation computer systems, 2022-02, Vol.127, p.208-224

2022

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A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios

Information sciences, 2019-06, Vol.485, p.281-300

2019

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Parallelism-based technologies in bioinformatics and biomedicine: a view from diverse perspectives

Concurrency and computation, 2015-12, Vol.27 (18), p.5473-5475

2015

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Multiobjective evolutionary computation for high-order genetic interactions

Applied soft computing, 2022-10, Vol.128, p.109538, Article 109538

2022

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Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search

Information sciences, 2019-10, Vol.500, p.173-189

2019

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Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes

Expert systems with applications, 2019-12, Vol.136, p.83-93

2019

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Algorithms for Computational Biology: Third International Conference, AlCoB 2016, Trujillo, Spain, June 21-22, 2016, Proceedings

1st ed. 2016, 2016

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Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein

Applied soft computing, 2019-01, Vol.74, p.90-98

2019

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Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs

Proceedings of the 51st International Conference on Parallel Processing, 2022, p.1-11

2022

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Parallel multi-objective optimization approaches for protein encoding

The Journal of supercomputing, 2022-03, Vol.78 (4), p.5118-5148

2022

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PhyloMissForest: a random forest framework to construct phylogenetic trees with missing data

BMC genomics, 2022-05, Vol.23 (1), p.377-377, Article 377

2022

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On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction

Information sciences, 2015-12, Vol.324, p.163-185

2015

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Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing

The Journal of supercomputing, 2019-07, Vol.75 (7), p.3369-3373

2019

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A multi-objective optimization procedure for solving the high-order epistasis detection problem

Expert systems with applications, 2020-03, Vol.142, p.113000, Article 113000

2020

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Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony

Journal of parallel and distributed computing, 2019-04, Vol.126, p.67-81

2019

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Offline and online peer assessment in computer engineering: Insights from a 5-year experience

Education and information technologies, 2024-03, Vol.29 (4), p.4591-4610

2024

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GPU acceleration of Fitch’s parsimony on protein data: from Kepler to Turing

The Journal of supercomputing, 2020-12, Vol.76 (12), p.9827-9853

2020

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Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories

Soft computing (Berlin, Germany), 2017-10, Vol.21 (19), p.5601-5620

2017

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Parallel evolutionary computation for multiobjective gene interaction analysis

Journal of computational science, 2020-02, Vol.40 (C), p.101068, Article 101068

2020

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Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference

Fourth-Order Exhaustive Epistasis Detection for the xPU Era

Accelerating the phylogenetic parsimony function on heterogeneous systems

A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference

A multi-objective butterfly optimization algorithm for protein encoding

GADPO: Genetic Algorithm based on Dominance for Primer Optimization

Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics

A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios

Parallelism-based technologies in bioinformatics and biomedicine: a view from diverse perspectives

Multiobjective evolutionary computation for high-order genetic interactions

Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search

Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes

Algorithms for Computational Biology: Third International Conference, AlCoB 2016, Trujillo, Spain, June 21-22, 2016, Proceedings

Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein

Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs

Parallel multi-objective optimization approaches for protein encoding

PhyloMissForest: a random forest framework to construct phylogenetic trees with missing data

On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction

Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing

A multi-objective optimization procedure for solving the high-order epistasis detection problem

Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony

Offline and online peer assessment in computer engineering: Insights from a 5-year experience

GPU acceleration of Fitch’s parsimony on protein data: from Kepler to Turing

Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories

Parallel evolutionary computation for multiobjective gene interaction analysis

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