Honors and Awards

RB 18 RB 18

 

Honors and awards of the NEO group members:

Honor/Award

Holder

Work/Paper

C.S. Hsu Award 2022

Oliver Schütze

For distinguished scholars in Nonlinear Dynamics and Control

SNI Level III, years 2022 to 2026.

Oliver Schütze

Awarded by the National System of Researchers (SNI) based on the trajectory of Dr. Schütze. Level III is highest category given by the SNI.

First place in the best PhD thesis award, bestowed in 2021 from the Mexican Society of Operations Research (SMIO)

Oliver Cuate

Herramientas de Exploración para el Tratamiento de Problemas de Optimización con Muchos Objetivos

Second Place of the Springer Best Paper Award in the 10th International Conference on Evolutionary Multi-Criterion Optimization.

Oliver Cuate
Oliver Schütze

Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms

3th Place of José Negrete Prize 2018 for the best PhD thesis in the area Artificial Intelligence from the SMIA.

Carlos Ignacio Hernández Castellanos

Métodos Orientados a Conjuntos para Optimización Multi-objetivo

The Arturo Rosenblueth Prize 2018 for the best PhD thesis in the area Engineering at the Cinvestav-IPN.

Carlos Ignacio Hernández Castellanos

Métodos Orientados a Conjuntos para Optimización Multi-objetivo

The IEEE Transactions on Evolutionary Computation Outstanding Paper Award 2012 (bestowed in 2015).

O. Schütze,
X. Esquivel,
A. Lara and
C. A. Coello Coello.

Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation, 16(4): 504-522, 2012.

First place in the category Master Thesis of the Mexican Society of Artificial Intelligence (SMIA) in the year 2014.

Carlos Ignacio Hernández Castellanos

Mapeo de celda a celda para optimización global multi-objetivo

The IEEE Transactions on Evolutionary Computation Outstanding Paper Award 2010 (bestowed in 2013).

A. Lara,
G. Sánchez,
C. A. Coello Coello and
O. Schütze.

HCS:A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms, 14(1): 112-132, 2010.

First place in the category PhD Thesis of the "Premio de Ingeniería" in the year 2012.

Adriana Lara Lopez

Incorporación de información de gradientes en el diseño de algoritmos evolutivos multi-objetivos híbridos.

First place in the category PhD Thesis of the Mexican Society of Artificial Intelligence (SMIA) in the year 2012.

Adriana Lara Lopez

 

Incorporación de información de gradientes en el diseño de algoritmos evolutivos multi-objetivos híbridos.

 
First place in the category PhD Thesis of the "XXV Certamen Nacional de Tesis de Informática y Computación" of the Asociación Nacional de Instituciones de Educación en Tecnologías de la Información, A.C. (ANIEI) in the year 2012. Adriana Lara Lopez Incorporación de información de gradientes en el diseño de algoritmos evolutivos multi-objetivos híbridos.

Member of the Mexican Academy of Sciences (AMC), since 2011

Oliver Schütze

Awarded by the AMC based on the trajectory of Dr. Schütze. 

Second place in the category Master Thesis of the Mexican Society of Artificial Intelligence (SMIA) in the year 2011.

Xavier Esquivel Sánchez Nuevo algoritmo evolutivo multi-objetivo basado en un archivo.
Second place in the category Master Thesis of the "Premio de Ingeniería de la Ciudad de Mexico" in the year 2011. Xavier Esquivel Sánchez

Nuevo algoritmo evolutivo multi-objetivo basado en un archivo.

Best Presentation Award at  the Graduate Student Workshop at the Genetic and Evolutionary Computation Conference GECCO 2010. Portland, OR, USA. The award was given by the Association for Computing Machinery (ACM).

Adriana Lara Lopez

Incorporación de información de gradientes en el diseño de algoritmos evolutivos multi-objetivos híbridos.

Best paper in track Evolutionary Multiobjective Optimization of the Genetic and Evolutionary Computation Conference (GECCO 2008).

O. Schütze, G. Sanchez and
C. A. Coello Coello
A New Memetic Strategy for the Numerical Treatment of Multi-objective Optimization Problems.
Best paper in track Evolutionary Multiobjective Optimization of the Genetic and Evolutionary Computation Conference (GECCO 2007). O.Schütze, M. Laumanns, E. Tantar, C. A. Coello Coello and E.G. Talbi

Convergence of Stochastic Search Algorithms to Gap-free Pareto Front Approximations.