Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Juan Antonio Gómez Pulido; Juan Manuel Sánchez-Pérez (EvoBIO, 2012)

Evaluating the Performance of a Parallel Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies on Multicore Architectures. - Sergio Santander-Jiménez; Miguel Ángel Vega Rodríguez; Juan Antonio Gómez Pulido; Juan Manuel Sánchez-Pérez (ISPA, 2012)

Comparing Different Operators and Models to Improve a Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Juan Antonio Gómez Pulido; Juan Manuel Sánchez-Pérez (TPNC, 2012)

A Parallel Multiobjective Algorithm Inspired by Fireflies for Inferring Evolutionary Trees on Multicore Machines. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (EUROCAST (1), 2013)

A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (EvoBIO, 2013)

A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (GECCO (Companion), 2013)

Parallelizing a multiobjective swarm intelligence approach to phylogenetics using hybrid MPI/OpenMP schemes. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (EuroMPI, 2013)

Applying a multiobjective metaheuristic inspired by honey bees to phylogenetic inference. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Biosyst., 2013)

Applying OpenMP-based parallel implementations of NSGA-II and SPEA2 to study phylogenetic relationships. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (CLUSTER, 2014)

Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (NaBIC, 2014)

Inferring Multiobjective Phylogenetic Hypotheses by Using a Parallel Indicator-Based Evolutionary Algorithm. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (TPNC, 2014)

A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Concurr. Comput. Pract. Exp., 2015)

Parallelism-based technologies in bioinformatics and biomedicine: a view from diverse perspectives. - Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Concurr. Comput. Pract. Exp., 2015)

On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Inf. Sci., 2015)

Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies on Multicore Clusters. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (IEEE Trans. Parallel Distributed Syst., 2015)

Improving Multiobjective Phylogenetic Searches by Using a Parallel varepsilon -Dominance Based Adaptation of the Firefly Algorithm. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Euro-Par Workshops, 2016)

Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Inf. Sci., 2016)

Parallel Multi-objective Optimization for High-Order Epistasis Detection. - Daniel Gallego-Sánchez; José M. Granado Criado; Sergio Santander-Jiménez; Álvaro Rubio-Largo; Miguel A. Vega-Rodríguez (ICA3PP, 2017)

Parallelism-based approaches in computational biology: a view from diverse case studies. - Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Clust. Comput., 2017)

Accelerating the phylogenetic parsimony function on heterogeneous systems. - Sergio Santander-Jiménez; Aleksandar Ilic; Leonel Sousa; Miguel A. Vega-Rodríguez (Concurr. Comput. Pract. Exp., 2017)

Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Soft Comput., 2017)

Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (IEEE Trans. Parallel Distributed Syst., 2017)

Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (BIBM, 2018)

Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (PBio@EuroMPI, 2018)

Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (IEEE Trans. Evol. Comput., 2018)

Analysis of MOEA/D Approaches for Inferring Ancestral Relationships. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (HAIS, 2019)

Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein. - Belen Gonzalez-Sanchez; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez; José M. Granado Criado (Appl. Soft Comput., 2019)

Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes. - Belen Gonzalez-Sanchez; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Expert Syst. Appl., 2019)

Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search. - Belen Gonzalez-Sanchez; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Inf. Sci., 2019)

A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (Inf. Sci., 2019)

Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Jorge Vicente-Viola; Leonel Sousa (J. Parallel Distributed Comput., 2019)

Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing. - Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (J. Supercomput., 2019)

Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (IEEE Trans. Parallel Distributed Syst., 2019)

Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection. - Rafael Campos; Diogo Marques 003; Sergio Santander-Jiménez; Leonel Sousa; Aleksandar Ilic (Euro-Par, 2020)

Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection. - Ricardo Nobre; Aleksandar Ilic; Sergio Santander-Jiménez; Leonel Sousa (IPDPS, 2020)

Accelerating 3-Way Epistasis Detection with CPU+GPU Processing. - Ricardo Nobre; Sergio Santander-Jiménez; Leonel Sousa; Aleksandar Ilic (JSSPP, 2020)

A multi-objective optimization procedure for solving the high-order epistasis detection problem. - José M. Granado Criado; Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Álvaro Rubio-Largo (Expert Syst. Appl., 2020)

Parallel evolutionary computation for multiobjective gene interaction analysis. - Francisco Gonçalves; Sergio Santander-Jiménez; Leonel Sousa; José M. Granado Criado; Aleksandar Ilic (J. Comput. Sci., 2020)

GPU acceleration of Fitch's parsimony on protein data: from Kepler to Turing. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Antonio Zahinos-Márquez; Leonel Sousa (J. Supercomput., 2020)

HEDAcc: FPGA-based Accelerator for High-order Epistasis Detection. - Gaspar Ribeiro; Nuno Neves 002; Sergio Santander-Jiménez; Aleksandar Ilic (FCCM, 2021)

Fourth-Order Exhaustive Epistasis Detection for the xPU Era. - Ricardo Nobre; Aleksandar Ilic; Sergio Santander-Jiménez; Leonel Sousa (ICPP, 2021)

Retargeting Tensor Accelerators for Epistasis Detection. - Ricardo Nobre; Aleksandar Ilic; Sergio Santander-Jiménez; Leonel Sousa (IEEE Trans. Parallel Distributed Syst., 2021)

Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs. - Ricardo Nobre; Aleksandar Ilic; Sergio Santander-Jiménez; Leonel Sousa (ICPP, 2022)

Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. - Diogo Marques 003; Rafael Campos; Sergio Santander-Jiménez; Zakhar Matveev; Leonel Sousa; Aleksandar Ilic (IPDPS, 2022)

Multiobjective evolutionary computation for high-order genetic interactions. - José M. Granado Criado; Álvaro Rubio-Largo; Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Appl. Soft Comput., 2022)

Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (Future Gener. Comput. Syst., 2022)

Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; Leonel Sousa (IEEE Trans. Cybern., 2022)

Parallel multi-objective optimization approaches for protein encoding. - Belen Gonzalez-Sanchez; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (J. Supercomput., 2022)

Interpreting High Order Epistasis Using Sparse Transformers. - Miguel Graça; Diogo Marques 003; Sergio Santander-Jiménez; Leonel Sousa; Aleksandar Ilic (CHASE, 2023)

A multi-objective butterfly optimization algorithm for protein encoding. - Belen Gonzalez-Sanchez; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Appl. Soft Comput., 2023)

IPU-EpiDet: Identifying Gene Interactions on Massively Parallel Graph-Based AI Accelerators. - Ricardo Nobre; Aleksandar Ilic; Sergio Santander-Jiménez; Leonel Sousa (IPDPS, 2024)

Offline and online peer assessment in computer engineering: Insights from a 5-year experience. - Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez; José M. Granado Criado; Álvaro Rubio-Largo; Juan Antonio Gómez Pulido; César Gómez-Martín; Arturo Durán-Domínguez (Educ. Inf. Technol., 2024)

GADPO: Genetic Algorithm based on Dominance for Primer Optimization. - Fernando M. Rodríguez-Bejarano; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Expert Syst. Appl., 2024)

Reference Vector-guided Evolutionary Algorithm for cluster analysis of single-cell transcriptomes. - Fernando M. Rodríguez-Bejarano; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Comput. Methods Programs Biomed., 2025)

A multi-objective artificial bee colony approach for identifying cancer driver pathways. - Fernando M. Rodríguez-Bejarano; Miguel A. Vega-Rodríguez; Sergio Santander-Jiménez (Expert Syst. Appl., 2025)

Multi-objective swarm-intelligence algorithm for document clustering. - Jesús M. Sánchez-Gómez; Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Expert Syst. Appl., 2025)

A multi-objective metaheuristic approach for generating cell type marker panels from single-cell transcriptomics. - Fernando M. Rodríguez-Bejarano; Sergio Santander-Jiménez; Miguel A. Vega-Rodríguez (Swarm Evol. Comput., 2025)