A local exploration tool for linear many objective optimization problems. - Oliver Cuate; Adriana Lara; Oliver Schütze 001 (CCE, 2016)

Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems. - Nancy Pérez; Oliver Cuate; Oliver Schütze 001; Alejandro Alvarado (Computación y Sistemas, 2016)

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. - Oliver Cuate; Bilel Derbel; Arnaud Liefooghe; El-Ghazali Talbi; Oliver Schütze 001 (EMO, 2017)

Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. - Oliver Cuate; Oliver Schütze 001 (EMO, 2019)

A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. - Oliver Cuate; Lourdes Uribe; Antonin Ponsich; Adriana Lara; Fernanda Beltran; Alberto Rodríguez Sánchez; Oliver Schütze 001 (EMO, 2019)

Sizing CMOS operational transconductance amplifiers applying NSGA-II and MOEAD. - Oliver Cuate; Oliver Schuetze 001; Francesco Grasso; Esteban Tlelo-Cuautle (MIPRO, 2019)

Enhanced directed search: a continuation method for mixed-integer multi-objective optimization problems. - Honggang Wang 002; David Laredo; Oliver Cuate; Oliver Schütze 001 (Ann. Oper. Res., 2019)

Pareto Explorer for Solving Real World Applications. - Oliver Cuate; Oliver Schütze 001 (Res. Comput. Sci., 2020)

A benchmark for equality constrained multi-objective optimization. - Oliver Cuate; Lourdes Uribe; Adriana Lara; Oliver Schütze 001 (Swarm Evol. Comput., 2020)

Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming. - Cristian Sandoval; Oliver Cuate; Luis C. González; Leonardo Trujillo; Oliver Schütze 001 (Appl. Soft Comput., 2022)

Backup Solutions for the Refueling Problem in Foreign Transportation: A Case Study in Mexico. - Oliver Cuate; Ruben Belmont; Lourdes Uribe; Gabriela P. Villamar; Ivan G. P.; Cecilio Shamar Sanchez Nava (MICAI (2), 2023)

Penalty Functions to Improve the Performance of MOEA's for Portfolio Optimization Problems. - Lourdes Uribe; Uriel Trejo-Ramirez; Yael Andrade-Ibarra; Oliver Cuate; Victor Cordero (Res. Comput. Sci., 2023)