Directed search method for indicator-based multi-objective evolutionary algorithms. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Günter Rudolph; Heike Trautmann (GECCO (Companion), 2013)

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 (PPSN, 2014)

On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Heike Trautmann; Günter Rudolph (EMO (2), 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 001 (NEO, 2015)

An effective mutation operator to deal with multi-objective constrained problems: SPM. - Sergio Alvarado; Adriana Lara; Víctor Adrián Sosa-Hernández; Oliver Schütze 001 (CCE, 2016)

The hypervolume based directed search method for multi-objective optimization problems. - Oliver Schütze 001; Víctor Adrián Sosa-Hernández; Heike Trautmann; Günter Rudolph (J. Heuristics, 2016)

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 002; Oliver Schütze 001 (Memetic Comput., 2019)

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Hao Wang 025; André H. Deutz; Michael Emmerich 001 (IEEE Trans. Cybern., 2020)

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)

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)

An Experimental Protocol for Neural Architecture Search in Super-Resolution. - Jesús Leopoldo Llano García; Raúl Monroy; Víctor Adrián Sosa-Hernández (ICCV (Workshops), 2023)

Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems". - Hao Wang 025; Michael Emmerich 001; André H. Deutz; Víctor Adrián Sosa-Hernández; Oliver Schütze 001 (Zenodo, 2023)

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 (IJCCI, 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)

Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture Optimization. - Jesús Leopoldo Llano García; Raúl Monroy; Víctor Adrián Sosa-Hernández; Kalyanmoy Deb (IEEE Access, 2025)

Toward the Use of Neural Architecture Search: A Baseline Approach for Solving the Authorship Verification Problem. - Luis Ignacio Ferro Salinas; Esteban Castillo; Víctor Adrián Sosa-Hernández (SN Comput. Sci., 2025)