Sergio Santander-Jiménez

发表

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

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2020, The Journal of Supercomputing.

Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2012, EvoBIO.

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

Miguel A. Vega-Rodríguez, José M. Granado Criado, Sergio Santander-Jiménez, 2020, Expert Syst. Appl..

Parallelizing a multiobjective swarm intelligence approach to phylogenetics using hybrid MPI/OpenMP schemes

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2013, EuroMPI.

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2016, Soft Computing.

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2015, Concurr. Comput. Pract. Exp..

Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2017, IEEE Transactions on Parallel and Distributed Systems.

Parallelism-based approaches in computational biology: a view from diverse case studies

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2017, Cluster Computing.

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2019, The Journal of Supercomputing.

Accelerating the phylogenetic parsimony function on heterogeneous systems

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2017, Concurr. Comput. Pract. Exp..

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

Miguel A. Vega-Rodríguez, José M. Granado Criado, Sergio Santander-Jiménez, 2019, Appl. Soft Comput..

Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, Leonel Sousa, 2018, IEEE Transactions on Evolutionary Computation.

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2016, Inf. Sci..

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2015, Concurr. Comput. Pract. Exp..

Applying a multiobjective metaheuristic inspired by honey bees to phylogenetic inference

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2013, Biosyst..

A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2013, EvoBIO.

Comparing Different Operators and Models to Improve a Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2012, TPNC.

Parallel evolutionary computation for multiobjective gene interaction analysis

José M. Granado Criado, Sergio Santander-Jiménez, Aleksandar Ilic, 2020, J. Comput. Sci..

Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).

Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2019, IEEE Transactions on Parallel and Distributed Systems.

Session details: International workshop on evolutionary computation in bioinformatics

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, David L. González-Álvarez, 2013, GECCO '13 Companion.

Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2018, PBio 2018.

Applying OpenMP-based parallel implementations of NSGA-II and SPEA2 to study phylogenetic relationships

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

Improving Multiobjective Phylogenetic Searches by Using a Parallel \varepsilon -Dominance Based Adaptation of the Firefly Algorithm

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2016, Euro-Par Workshops.

A Parallel Multiobjective Algorithm Inspired by Fireflies for Inferring Evolutionary Trees on Multicore Machines

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2013, EUROCAST.

Evaluating the Performance of a Parallel Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies on Multicore Architectures

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2012, 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications.

Parallel Multiobjective Metaheuristics for Inferring Phylogenies on Multicore Clusters

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2015, IEEE Transactions on Parallel and Distributed Systems.

Analysis of MOEA/D Approaches for Inferring Ancestral Relationships

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2019, HAIS.

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, Belen Gonzalez-Sanchez, 2019, Inf. Sci..

Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection

Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, 2020, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, Belen Gonzalez-Sanchez, 2019, Expert Syst. Appl..

Algorithms for Computational Biology

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2016, Lecture Notes in Computer Science.

Parallel Multi-objective Optimization for High-Order Epistasis Detection

Miguel A. Vega-Rodríguez, José M. Granado Criado, Sergio Santander-Jiménez, 2017, ICA3PP.

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

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2019, J. Parallel Distributed Comput..

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

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2015, Inf. Sci..

Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Accelerating 3-Way Epistasis Detection with CPU+GPU Processing

Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, 2020, JSSPP.

A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2013, GECCO.

Algorithms for Computational Biology

Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2014, Lecture Notes in Computer Science.

Inferring Multiobjective Phylogenetic Hypotheses by Using a Parallel Indicator-Based Evolutionary Algorithm

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, M. A. Vega-Rodríguez, 2014, TPNC.

Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection

Leonel Sousa, Sergio Santander-Jiménez, Diogo Marques, 2020, Euro-Par.

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

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2019, Inf. Sci..

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

Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2016 .

Parallel multi-objective optimization approaches for protein encoding

Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, Belen Gonzalez-Sanchez, 2021, The Journal of Supercomputing.

Fourth-Order Exhaustive Epistasis Detection for the xPU Era

Leonel Sousa, Sergio Santander-Jiménez, Aleksandar Ilic, 2021, ICPP.

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

Leonel Sousa, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, 2022, Future Gener. Comput. Syst..

HEDAcc: FPGA-based Accelerator for High-order Epistasis Detection

Sergio Santander-Jiménez, Aleksandar Ilic, Nuno Neves, 2021, 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Retargeting Tensor Accelerators for Epistasis Detection

Leonel Sousa, Sergio Santander-Jiménez, Aleksandar Ilic, 2021, IEEE Transactions on Parallel and Distributed Systems.