Követés
Víctor Adrián Sosa Hernández
Víctor Adrián Sosa Hernández
Professor at ITESM-CEM
E-mail megerősítve itt: tec.mx - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Using a family of curves to approximate the Pareto front of a multi-objective optimization problem
S Zapotecas Martínez, VA Sosa Hernández, H Aguirre, K Tanaka, ...
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
392014
The set-based hypervolume newton method for bi-objective optimization
VAS Hernández, O Schütze, H Wang, A Deutz, M Emmerich
IEEE transactions on cybernetics 50 (5), 2186-2196, 2018
322018
A practical tutorial for decision tree induction: Evaluation measures for candidate splits and opportunities
VAS Hernández, R Monroy, MA Medina-Pérez, O Loyola-Gonzalez, ...
ACM Computing Surveys (CSUR) 54 (1), 1-38, 2021
242021
The hypervolume based directed search method for multi-objective optimization problems
O Schütze, VAS Hernández, H Trautmann, G Rudolph
Journal of Heuristics 22, 273-300, 2016
222016
Hypervolume maximization via set based Newton’s method
VA Sosa Hernández, O Schütze, M Emmerich
EVOLVE-a bridge between probability, set oriented numerics, and evolutionary …, 2014
222014
Severity of SARS-CoV-2 infection is linked to double-negative (CD27 IgD) B cell subset numbers
R Cervantes-Díaz, VA Sosa-Hernández, J Torres-Ruíz, ...
Inflammation Research, 1-10, 2022
202022
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems
JLL García, R Monroy, VAS Hernández, CAC Coello
Swarm and Evolutionary Computation 67, 100983, 2021
192021
The directed search method for pareto front approximations with maximum dominated hypervolume
VA Sosa Hernández, O Schütze, G Rudolph, H Trautmann
EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2013
72013
The directed search method for unconstrained parameter dependent multi-objective optimization problems
V Adrián Sosa Hernández, A Lara, H Trautmann, G Rudolph, O Schütze
NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop …, 2016
62016
On the choice of neighborhood sampling to build effective search operators for constrained MOPs
A Lara, L Uribe, S Alvarado, VA Sosa, H Wang, O Schütze
Memetic Computing 11, 155-173, 2019
42019
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
H Wang, M Emmerich, A Deutz, VAS Hernández, O Schütze
Mathematical and Computational Applications 28 (1), 10, 2023
22023
Directed search method for indicator-based multi-objective evolutionary algorithms
VA Sosa-Hernandez, O Schütze, G Rudoph, H Trautmann
Proceedings of the 15th annual conference companion on Genetic and …, 2013
22013
An effective mutation operator to deal with multi-objective constrained problems: Spm
S Alvarado, A Lara, V Sosa, O Schütze
2016 13th International Conference on Electrical Engineering, Computing …, 2016
12016
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs
VAS Hernández, O Schütze, H Trautmann, G Rudolph
Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015
12015
An Experimental Protocol for Neural Architecture Search in Super-Resolution
JLL García, R Monroy, VAS Hernández
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems
JL Llano García, R Monroy, VA Sosa Hernández, CA Coello
2021
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.
VA Sosa-Hernández, A Lara, H Trautmann, G Rudolph, O Schütze
NEO, 281-330, 2015
2015
On the Numerical Treatment of Parametric Multi-Objective Optimization Problems and Memetic Evolutionary Algorithms
OS Víctor Adrián Sosa Hernández
CINVESTAV-IPN, 2013
2013
Herramienta gráfica para la ejecución de procesos de optimización multiobjetivo mediante algoritmos evolutivos
AZH López, ES de Computo, VAS Hernández, LFM Rodríguez, EUT Trejo, ...
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Cikkek 1–19