Oliver Schütze

Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello, Oliver Schütze (Eds.): EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation. Studies in Computational Intelligence 447, Springer 2013, isbn 978-3-642-32725-4

Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Oliver Schütze, Carlos A. Coello Coello, Pierre Del Moral: Special issue on evolutionary computing and complex systems. Soft Comput. 17(6): 909-912 (2013)

Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze: Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO 2013: 443-458

Oliver Schütze, Katrin Witting, Sina Ober-Blöbaum, Michael Dellnitz: Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems. EVOLVE 2013: 187-219

Adriana Lara, Oliver Schütze, Carlos A. Coello Coello: On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms. EVOLVE 2013: 305-332

Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand (Eds.): EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, Proceedings. Advances in Intelligent Systems and Computing 175, Springer 2013, isbn 978-3-642-31518-3

Günter Rudolph, Heike Trautmann, Oliver Schütze: Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Automatisierungstechnik 60(10): 612-621 (2012)

Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello: Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization. IEEE Trans. Evolutionary Computation 16(4): 504-522 (2012)

Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze: Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE 2012: 89-105

Shaul Salomon, Gideon Avigad, Alex Goldvard, Oliver Schütze: PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs. EVOLVE 2012: 137-151

Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze: The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms. EVOLVE 2012: 153-168

Oliver Schütze, Adriana Lara, Carlos A. Coello Coello: On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem. IEEE Trans. Evolutionary Computation 15(4): 444-455 (2011)

Matthias W. Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel, Oliver Schütze: Integrated circuit optimization by means of evolutionary multi-objective optimization. GECCO 2011: 807-812

Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi: Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms. Evolutionary Computation 18(1): 65-96 (2010)

Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze: HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. IEEE Trans. Evolutionary Computation 14(1): 112-132 (2010)

Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze: A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-8

Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile: Computing approximate solutions of scalar optimization problems and applications in space mission design. IEEE Congress on Evolutionary Computation 2010: 1-8

Adriana Lara, Oliver Schütze, Carlos A. Coello Coello: New challenges for memetic algorithms on continuous multi-objective problems. GECCO (Companion) 2010: 1967-1970

Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello: Some comments on GD and IGD and relations to the Hausdorff distance. GECCO (Companion) 2010: 1971-1974

Adriana Lara, Carlos A. Coello Coello, Oliver Schütze: Using gradient information for multi-objective problems in the evolutionary context. GECCO (Companion) 2010: 2011-2014

Xavicr Esquivel Sanchez, Oliver Schütze: On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms. CCE 2010: 375-380

Erick Mejía, Oliver Schütze: A predictor corrector method for the computation of boundary points of a multi-objective optimization problem. CCE 2010: 395-399

Luis Gerardo de la Fraga, Oliver Schütze: Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution. International Journal of Computer Vision 81(2): 119-127 (2009)

Adriana Lara, Carlos A. Coello Coello, Oliver Schütze: Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2009: 16-23

Oliver Schütze, Adriana Lara, Carlos A. Coello Coello: Evolutionary continuation methods for optimization problems. GECCO 2009: 651-658

Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello, Michael Dellnitz, El-Ghazali Talbi: Convergence of stochastic search algorithms to finite size pareto set approximations. J. Global Optimization 41(4): 559-577 (2008)

Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello: A new memetic strategy for the numerical treatment of multi-objective optimization problems. GECCO 2008: 705-712

Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi: Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. GECCO 2008: 713-720

Emilia Tantar, Oliver Schütze, José Rui Figueira, Carlos A. Coello Coello, El-Ghazali Talbi: Computing and Selecting ε-Efficient Solutions of {0, 1}-Knapsack Problems. MCDM 2008: 379-389

Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello: Approximating the Knee of an MOP with Stochastic Search Algorithms. PPSN 2008: 795-804

Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello: Approximate Solutions in Space Mission Design. PPSN 2008: 805-814

Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi: Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP. CoRR abs/0804.0581 (2008)

Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi: Convergence of stochastic search algorithms to gap-free pareto front approximations. GECCO 2007: 892-901

Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi: Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms. MICAI 2007: 128-138

Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz: A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. EMO 2006: 590-603

Oliver Schütze, Alessandro Dell'Aere, Michael Dellnitz: On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems. Practical Approaches to Multi-Objective Optimization 2005

Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich: Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. EMO 2003: 118-132

Oliver Schütze: A New Data Structure for the Nondominance Problem in Multi-objective Optimization. EMO 2003: 509-518