Oliver Schütze

Laboratorio: Numerical and Evolutionary Optimization (NEO)

Investigador Titular "Cinvestav 3D"

SNI III

+52 55 5747 3800 Ext. 6562
oliver.schutze@cinvestav.mx

Página personal

https://delta.cs.cinvestav.mx/~schuetze/

Áreas de investigación

Sus áreas de investigación actuales son: la Optimización Multiobjetivo (con técnicas de programación matemática y con metaheurísticas), así como la Optimización Numérica en general.

• Metaheurísticas.
• Optimización Evolutiva y Numérica.
• Optimización Multi-objetivo.

Semblanza

Oliver Schütze received a PhD in Mathematics from the University of Paderborn, Germany, in 2004. He is currently full professor at the Cinvestav-IPN in Mexico City, Mexico. His research interests focus on numerical and evolutionary optimization. For more information see https://neo.cinvestav.mx/Group/

Publicaciones recientes y/o relevantes

• 1. H. Wang, A. E. Rodriguez-Fernandez, L. Uribe, A. Deutz, O. Cortés-Piña and O. Schütze, "A Newton Method for Hausdorff Approximations of the Pareto Front Within Multi-objective Evolutionary Algorithms," in IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2024.3469373.
• 2. A. E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann and O. Schütze, "Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization," in IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2024.3458855.
• 3. Schütze, O., Rodriguez-Fernandez, A. E., Segura, C., & Hernández, C. (2024). "Finding the Set of Nearly Optimal Solutions of a Multi-Objective Optimization Problem". IEEE Transactions On Evolutionary Computation. https://doi.org/10.1109/tevc.2024.3353546.
• 4. Hernández Castellanos, C. I., & Schütze, O. (2022). "A Bounded Archiver for Hausdorff Approximations of the Pareto Front for Multi-Objective Evolutionary Algorithms". Mathematical and Computational Applications, 27(3), 48. https://doi.org/10.3390/mca27030048.
• 5. Oliver Schuetze and Carlos Hernandez. "Archiving Strategies for Multi-objective Evolutionary Algorithms", Springer, 2021. https://doi.org/10.1007/978-3-030-63773-6.
• 6. J-Q. Sun, F-R. Xiong, O. Schütze, C. Hernández. "Cell Mapping Methods - Algorithmic Approaches and Applications". Nonlinear Systems and Complexity, 99, Springer, 2019. https://doi.org/10.1007/978-981-13-0457-6.

Proyectos relevantes

• Design and Analysis of Hybrid Multi-objective Evolutionary Algorithms for the treatment of complex MOPs.
• Continuation Methods for the treatment of Multi-objective Optimization Problems.

Información relevante

• C.S. Hsu Award 2022 for distinguished scholars in Nonlinear Dynamics and Control.
• Member of the Mexican Academy of Sciences (AMC), since 2011 Awarded by the AMC based on the trajectory of Dr. Schütze.
• Editor-in-Chief, Mathematical and Computational Applications.