Víctor Adrián Sosa-Hernández

According to our database, Víctor Adrián Sosa-Hernández authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural architecture search for image super-resolution: A review on the emerging state-of-the-art.

Jesús L. Llano García, Raúl Monroy, Víctor Adrián Sosa-Hernández

Neurocomputing, 2024

Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration.

Sergio Sarmiento-Rosales, Jesús Leopoldo Llano García, Jesús Guillermo Falcón-Cardona, Raúl Monroy, Manuel Iván Casillas del Llano, Víctor Adrián Sosa-Hernández

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

2023

Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems".

Hao Wang, Michael Emmerich, André H. Deutz, Víctor Adrián Sosa-Hernández, Oliver Schütze

Dataset, January, 2023

An Experimental Protocol for Neural Architecture Search in Super-Resolution.

Jesús Leopoldo Llano García, Raúl Monroy, Víctor Adrián Sosa-Hernández

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Practical Tutorial for Decision Tree Induction: Evaluation Measures for Candidate Splits and Opportunities.

Víctor Adrián Sosa-Hernández, Raúl Monroy, Miguel Angel Medina-Pérez, Octavio Loyola-González, Francisco Herrera

ACM Comput. Surv., 2022

2021

COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems.

Jesús L. Llano García, Raúl Monroy, Víctor Adrián Sosa-Hernández, Carlos A. Coello Coello

Swarm Evol. Comput., 2021

2020

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.

Víctor Adrián Sosa-Hernández, Oliver Schütze, Hao Wang, André H. Deutz, Michael Emmerich

IEEE Trans. Cybern., 2020

2019

On the choice of neighborhood sampling to build effective search operators for constrained MOPs.

Adriana Lara, Lourdes Uribe, Sergio Alvarado, Víctor Adrián Sosa-Hernández, Honggang Wang, Oliver Schütze

Memetic Comput., 2019

2016

The hypervolume based directed search method for multi-objective optimization problems.

Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph

J. Heuristics, 2016

An effective mutation operator to deal with multi-objective constrained problems: SPM.

Sergio Alvarado, Adriana Lara, Víctor Adrián Sosa-Hernández, Oliver Schütze

Proceedings of the 13th International Conference on Electrical Engineering, 2016

2015

The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.

Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze

Proceedings of the NEO 2015, 2015

On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs.

Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014

Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem.

Saúl Zapotecas Martínez, Víctor Adrián Sosa-Hernández, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

Directed search method for indicator-based multi-objective evolutionary algorithms.

Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann

Proceedings of the Genetic and Evolutionary Computation Conference, 2013