Sergio Santander-Jiménez

Orcid: 0000-0002-2862-2026

According to our database1, Sergio Santander-Jiménez authored at least 52 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GADPO: Genetic Algorithm based on Dominance for Primer Optimization.
Expert Syst. Appl., March, 2024

Offline and online peer assessment in computer engineering: Insights from a 5-year experience.
Educ. Inf. Technol., March, 2024

2023
A multi-objective butterfly optimization algorithm for protein encoding.
Appl. Soft Comput., May, 2023

Interpreting High Order Epistasis Using Sparse Transformers.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

2022
Parallel multi-objective optimization approaches for protein encoding.
J. Supercomput., 2022

Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data.
IEEE Trans. Cybern., 2022

Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics.
Future Gener. Comput. Syst., 2022

Multiobjective evolutionary computation for high-order genetic interactions.
Appl. Soft Comput., 2022

Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
Retargeting Tensor Accelerators for Epistasis Detection.
IEEE Trans. Parallel Distributed Syst., 2021

Fourth-Order Exhaustive Epistasis Detection for the xPU Era.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

HEDAcc: FPGA-based Accelerator for High-order Epistasis Detection.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020
GPU acceleration of Fitch's parsimony on protein data: from Kepler to Turing.
J. Supercomput., 2020

Parallel evolutionary computation for multiobjective gene interaction analysis.
J. Comput. Sci., 2020

A multi-objective optimization procedure for solving the high-order epistasis detection problem.
Expert Syst. Appl., 2020

Accelerating 3-Way Epistasis Detection with CPU+GPU Processing.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2020

Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

2019
Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios.
IEEE Trans. Parallel Distributed Syst., 2019

Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing.
J. Supercomput., 2019

Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony.
J. Parallel Distributed Comput., 2019

A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios.
Inf. Sci., 2019

Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search.
Inf. Sci., 2019

Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes.
Expert Syst. Appl., 2019

Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein.
Appl. Soft Comput., 2019

Analysis of MOEA/D Approaches for Inferring Ancestral Relationships.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data.
IEEE Trans. Evol. Comput., 2018

Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology.
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018

Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study.
IEEE Trans. Parallel Distributed Syst., 2017

Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories.
Soft Comput., 2017

Accelerating the phylogenetic parsimony function on heterogeneous systems.
Concurr. Comput. Pract. Exp., 2017

Parallelism-based approaches in computational biology: a view from diverse case studies.
Clust. Comput., 2017

Parallel Multi-objective Optimization for High-Order Epistasis Detection.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2016
Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference.
Inf. Sci., 2016

Improving Multiobjective Phylogenetic Searches by Using a Parallel \varepsilon -Dominance Based Adaptation of the Firefly Algorithm.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

2015
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies on Multicore Clusters.
IEEE Trans. Parallel Distributed Syst., 2015

On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction.
Inf. Sci., 2015

Parallelism-based technologies in bioinformatics and biomedicine: a view from diverse perspectives.
Concurr. Comput. Pract. Exp., 2015

A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference.
Concurr. Comput. Pract. Exp., 2015

2014
Inferring Multiobjective Phylogenetic Hypotheses by Using a Parallel Indicator-Based Evolutionary Algorithm.
Proceedings of the Theory and Practice of Natural Computing, 2014

Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Applying OpenMP-based parallel implementations of NSGA-II and SPEA2 to study phylogenetic relationships.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Applying a multiobjective metaheuristic inspired by honey bees to phylogenetic inference.
Biosyst., 2013

Parallelizing a multiobjective swarm intelligence approach to phylogenetics using hybrid MPI/OpenMP schemes.
Proceedings of the 20th European MPI Users's Group Meeting, 2013

A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

A Parallel Multiobjective Algorithm Inspired by Fireflies for Inferring Evolutionary Trees on Multicore Machines.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

2012
Comparing Different Operators and Models to Improve a Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies.
Proceedings of the Theory and Practice of Natural Computing, 2012

Evaluating the Performance of a Parallel Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies on Multicore Architectures.
Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012

Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012


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