Sergio Ivvan Valdez Peña

Orcid: 0000-0002-5996-992X

Affiliations:
  • CENTROMET-INFOTEC El Pueblito, Querétaro, México
  • Center for Research in Mathematics (CIMAT), Guanajuato, México (PhD 2009)


According to our database1, Sergio Ivvan Valdez Peña authored at least 49 papers between 2005 and 2023.

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

Timeline

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Bibliography

2023
The Directed Multi-Objective Estimation Distribution Algorithm (D-MOEDA).
Math. Comput. Simul., December, 2023

Design optimization and parameter estimation of a PEMFC using nature-inspired algorithms.
Soft Comput., April, 2023

Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling.
Soft Comput., 2023

Valley Classification using Convolutional Neural Network and a Geomorphons Map.
Proceedings of the Mexican International Conference on Computer Science, 2023

Feature Analysis for Urban-land Change of Morelia City Via the TOC Curve.
Proceedings of the Mexican International Conference on Computer Science, 2023

2022
Evaluación comparativa de algoritmos de predicción aplicados al conteo de homicidios dolosos en México.
Res. Comput. Sci., 2022

A Broyden-based algorithm for multi-objective local-search optimization.
Inf. Sci., 2022

Improving Geomorphological Classification via Binary Image Processing.
Proceedings of the IEEE Mexican International Conference on Computer Science, 2022

Homicide forecasting for the state of Guanajuato using LSTM and geospatial information.
Proceedings of the IEEE Mexican International Conference on Computer Science, 2022

Roughness Parameter Estimation for flood numerical simulation using Differential Evolution.
Proceedings of the IEEE Mexican International Conference on Computer Science, 2022

2021
Robust parameter estimation of a PEMFC via optimization based on probabilistic model building.
Math. Comput. Simul., 2021

Efficient Training of Deep Learning Models Through Improved Adaptive Sampling.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

2020
Kinematic and dynamic design and optimization of a parallel rehabilitation robot.
Intell. Serv. Robotics, 2020

The Improvement Direction Mapping Method.
Proceedings of the Advances in Soft Computing, 2020

Computation of the improvement directions of the Pareto front and its application to MOEAs.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Evolutionary Training of Deep Belief Networks for Handwritten Digit Recognition.
Res. Comput. Sci., 2019

An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks.
CoRR, 2019

Blood Vessel Analysis on High Resolution Fundus Retinal Images.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

On the selection of the optimal topology for particle swarm optimization: a study of the tree as the universal topology.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Comparison Between a Concurrent and a Sequential Optimization Methodology for Serial Manipulators Using Metaheuristics.
IEEE Trans. Ind. Informatics, 2018

Evaluating concurrent design approaches for a Delta parallel manipulator.
Robotica, 2018

Aprendizaje profundo de representaciones robustas para clasificación multi-instancia y multi-etiqueta de imágenes.
Res. Comput. Sci., 2018

A Parallel Memetic Algorithm to Solve the Capacitated Vehicle Routing Problem with Time Windows.
Int. J. Comb. Optim. Probl. Informatics, 2018

A Numerical Solution for the Time Variant Maxwell Equations using a Discontinuous Galerkin Method.
Int. J. Comb. Optim. Probl. Informatics, 2018

A meta-heuristic for topology optimization using probabilistic learning.
Appl. Intell., 2018

A Novel Evolutionary Morphological Descriptor for the Segmentation of Coronary Arteries.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

A Hybrid EDA/Nelder-Mead for Concurrent Robot Optimization.
Proceedings of the Hybrid Intelligent Systems, 2018

A Guided Local Search Approach for the Travelling Thief Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A Bio-inspired Algorithm for the Quantitative Analysis of Hind Limb Locomotion Kinematics of Laboratory Rats.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

A memetic algorithm for the Capacitated Vehicle Routing Problem with Time Windows.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
On the performance of nature inspired algorithms for the automatic segmentation of coronary arteries using Gaussian matched filters.
Appl. Soft Comput., 2016

Concurrent design optimization of the Delta manipulator.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

The importance of diversity in the application of evolutionary algorithms to the Sudoku problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Design optimization of a cable-based parallel tracking system by using evolutionary algorithms.
Robotica, 2015

The Importance of Proper Diversity Management in Evolutionary Algorithms for Combinatorial Optimization.
Proceedings of the NEO 2015, 2015

A Novel Diversity-based Evolutionary Algorithm for the Traveling Salesman Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Designing the Boltzmann Estimation of Multivariate Normal Distribution: Issues, goals and solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Repairing normal EDAs with selective repopulation.
Appl. Math. Comput., 2014

A New EDA by a Gradient-Driven Density.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization.
Proceedings of the ECTA 2014, 2014

2013
A Boltzmann based estimation of distribution algorithm.
Inf. Sci., 2013

2012
Effective Structure Learning in Bayesian Network Based EDAs.
Proceedings of the EVOLVE, 2012

Adequate Variance Maintenance in a Normal EDA via the Potential-Selection Method.
Proceedings of the EVOLVE, 2012

2010
Combinational Circuit Design with Estimation of Distribution Algorithms.
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010

2009
Uniformly Distributed Pareto Fronts through the maximin Selection Algorithm.
Int. J. Artif. Intell. Tools, 2009

Approximating the search distribution to the selection distribution in EDAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2005
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005


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