Conference Papers


  1. K. Gerstl, G. Rudolph, O. Schütze, H. Trautmann. Finding Evenly Spaced Fronts for Multiobjective Control via Averaging Hausdorff-Measure. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2011), pp. 975 - 980, 2011.

  2. I. Yaesh, X. Esquivel, and O Schütze Evolutionary Multi-Objective Optimization of Static Output Feedback Controllers Satisfying H-infinity-norm and Spectral Abscissa Bounds. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2011), pp. 940-945, 2011.

  3. C. Cruz, L. G. De La Fraga, and O. Schütze Fitness Function Evaluation for the Detection of Multiple Ellipses Using a Genetic Algorithm. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2011), pp. 946 - 950, 2011.

  4. Matthias Blesken, Anouar Chebil, Ulrich Rueckert, Xavier Esquivel, and Oliver Schütze. Integrated Circuit Optimization by Means of Evolutionary Multi-Objective Optimization. Genetic and Evolutionary Computation Conference (GECCO 2011), pp. 807-812, 2011.

  5. Erick Mejia and Oliver Schütze. A Predictor Corrector Method for the Computation of Boundary Points of a Multi-Objective Optimization Problem. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2010), pp. 395 - 399, 2010.

  6. Xavier Esquivel and Oliver Schütze. On the Interplay of Generator and Archiver within Archive Based Multiobjective Evolutionary Algorithms. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2010), pp. 375 - 380, 2010.

  7. Adriana Lara, Carlos A. Coello Coello, and Oliver Schütze. A Painless Gradient-Assisted Multi-Objective Memetic Mechanism for Solving Continuous Bi-Objective Optimization Problems. IEEE Conference on Evolutionary Computation (CEC 2010), pp. 1-8, 2010.

  8. Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, and Massimiliano Vasile. Computing Approximate Solutions of Scalar Optimization Problems and Applications in Space Mission Design. IEEE Conference on Evolutionary Computation (CEC 2010), to appear.

  9. Adriana Lara, Carlos A. Coello Coello, and Oliver Schütze. Using Gradient Information for Multi-Objective Problems in the Evolutionary Context. GECCO 2010 Graduate Student Workshop, pp. 1-8, 2010.
    Award for the best student paper (Adriana Lara).

  10. Adriana Lara, Oliver Schütze, and Carlos A. Coello Coello. New Challenges for Memetic Algorithms on Continuous Multi-Objective Problems. GECCO 2010 Workshop on Theoretical Aspects of Evolutionary Multiobjective Optimization, pp. 1967-1970, 2010.

  11. Oliver Schütze, Xavier Esquivel, Adriana Lara, and Carlos A. Coello Coello. Some Comments on GD and IGD and Relations to the Hausdorff Distance. GECCO 2010 Workshop on Theoretical Aspects of Evolutionary Multiobjective Optimization, pp. 1971 -- 1974, 2010.

  12. Emilia Tantar, Oliver Schütze, Jose Rui Figueira, Carlos A. Coello Coello, and El-ghazali Talbi. Computing and Selecting epsilon-efficient Solutions of 0/1-Knapsack Problems. Multicriteria and Decision Making Conference (MCDM 2008), pp. 379-389, 2010.

  13. Oliver Schütze, Adriana Lara, and Carlos A. Coello Coello. Evolutionary Continuation Methods for Optimization Problems. Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 651-658, 2009.

  14. Adriana Lara, Carlos A. Coello Coello, and Oliver Schütze. Using Gradient-Based Information to Deal with Scalability in Multi-Objective Evolutionary Algorithms. IEEE Conference on Evolutionary Computation (CEC 2009), pp. 16 - 23, 2009.

  15. Oliver Schütze, Marco Laumanns, and Carlos A. Coello Coello. Approximating the Knee of an MOP with Stochastic Search Algorithms. Parallel Problem Solving from Nature (PPSN X), Lecture Notes in Computer Science 5199, pp. 795--804, 2008.

  16. Oliver Schütze, Massimiliano Vasile, and Carlos A. Coello Coello. Approximate Solution in Space Mission Design. Parallel Problem Solving from Nature (PPSN X), Lecture Notes in Computer Science 5199, pp. 805--814, 2008.

  17. Oliver Schütze, Gustavo Sanchez, and Carlos A. Coello Coello. A New Memetic Strategy for the Numerical Treatment of Multi-objective Optimization Problems. Genetic and Evolutionary Computation Conference (GECCO 2008), pp. 705--712, 2008.
    Best paper in track Evolutionary Multiobjective Optimization

  18. Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, and El-ghazali Talbi. Computing Finite Size Representations of the Set of Approximate Solutions of an MOP with Stochastic Search Algorithms. Genetic and Evolutionary Computation Conference (GECCO 2008), pp. 713--720, 2008.

  19. Oliver Schütze, Carlos A. Coello Coello, and El-ghazali Talbi. Approximating the epsilon-efficient Set of an MOP with Stochastic Search Algorithms. Mexican International Converence on Artificial Intelligence (MICAI 2007), Lecture Notes in Computer Science 4827 pp. 118--128, 2008.

  20. Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, and El-ghazali Talbi. Convergence of Stochastic Search Algorithms to Gap-free Pareto Front Approximations. Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 892--901, 2007.
    Best paper in track Evolutionary Multiobjective Optimization

  21. Oliver Schütze, Carlos A. Coello Coello, Luis Vicente Santana Quintero, and Gregorio Toscano Pulido. A memetic PSO algorithm for scalar optimization problems. Proceedings of the IEEE Swarm Intelligence Symposium (SIS 2007), 2007.

  22. Laetitia Jourdan, Thomas Legrand, Oliver Schütze, El-ghazali Talbi, and Jean Luc Wojkiewicz. A Multiobjective Genetic Algorithm to Optimize Electromagnetic Properties of Conducting Polymer Composites in the Microwave Band. Proceedings of the International Conference on Industrial Engineering and Systems Management (IESM 2007), Bejing, China, 2007.

  23. Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-ghazali Talbi, and Jean Luc Wojkiewicz. A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. Evolutionary Multiobjective Optimization (EMO 2007), Lecture Notes in Computer Science 4403 pp. 590--603, 2007.

  24. Andreas Pottharst, Katrin Baptist, Oliver Schütze, Joachim Böcker, Norbert Fröhlecke, and Michael Dellnitz. Operating Point Assignment of a Linear Motor Driven Vehicle Using Multiobjective Optimization Methods. Proceedings of the 11th International Conference EPE-PEMC, Riga, Latvia, 2004.


Go Back to home page