Oliver Schütze

Oliver Schütze
Researcher CINVESTAV 3-D
Department of Computer Science
Av. IPN No. 2508 Col. San Pedro Zacatenco
Mexico, D.F. 07360. MEXICO
Level in the National System of Researchers: 3

Personal page: http://delta.cs.cinvestav.mx/~schuetze/ Phone: +52 55 5747 3800 x 6562
Fax: +52 55 5747 3757

Excelencia en Investigación
y Posgrado


· Ph.D. in Applied Matemathics, University of Paderborn, Germany, 2004.

· BSc in Matemathics, University of Bayreuth, Germany, 1999.

Research Interests

His major research interest are: multi-objective optimization (both with mathematical programming techniques and with metaheuristics), as well as numerical optimization, in general.

Optimization, metaheuristics for optimization, multi-objective optimization.

Selected Publications.
1. J-Q. Sun, F-R. Xiong, O. Schütze, C. Hernández. Cell Mapping Methods - Algorithmic Approaches and Applications. Nonlinear Systems and Complexity, 99, Springer, 2019.

2. V. A. Sosa-Hernández, O. Schütze, H. Wang, A. Deutz, M. Emmerich. The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. IEEE Transactions on Cybernetics, 2019.

3. J. M. Bogoya, A. Vargas, O. Cuate, O. Schuetze. A (p,q)-Averaged Hausdorff Distance for Arbitrary Measurable Sets. Mathematical and Computational Applications. 23(3), 51, 2018.

4. A. Martin, O. Schuetze. Pareto Tracer: A Predictor Corrector Method for Multi-objective Optimization Problems. Engineering Optimization. 50(3), 516-536, 2018.

5. O. Schütze, S. Alvarado, C. Segura, R. Landa. Gradient Subspace Approximation: A Direct Search Method for Memetic Computing. Soft Computing. 21 (21): 6331-6350, 2017.