Book Chapters

  1. L. Trujillo, E. Z-Flores, P. S. Juárez-Smith, P Legrand, S. Silva, M. Castelli, L. Vanneschi, O. Schütze and L. Muñoz. Local Search is Underused in Genetic Programming. In Rick Riolo et al. editors,
    Genetic Programming Theory and Practice XIV, 2018. Springer.
  2. V. A. Sosa-Hernandez, A. Lara, H. Trautmann, G. Rudolph, and O. Schütze. The Directed Search Method for Unconstrained Parameter Dependent Multi-Objective Optimization Problems. In O. Schütze et al. (eds.), Numerical and Evolutionary Optimization - NEO 15, Springer, 2016 (to appear).
  3. Z. Qin, F. Xiong, Y. Sardahi, Y. Naranjani, O. Schütze, and J.Q. Sun. Multi-Objective Optimal Design of Nonlinear Controls. In O. Schütze et al. (eds.), Numerical and Evolutionary Optimization - NEO 15, Springer, 2016 (to appear).
  4. J. C. Dibene, Y. Maldonado, L. Trujillo, C. Vera, M. de Oliveira, and O. Schütze. The Ambulance Location Problem in Tijuana, Mexico. In O. Schütze et al. (eds.), Numerical and Evolutionary Optimization - NEO 15, Springer, 2016 (to appear).
  5. C. Hernández, J.-Q. Sun and O. Schütze. Global Multi-Objective Optimization by Means of Cell Mapping Techniques. In M. Emmerich et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VI, Springer, 2016 (to appear).
  6. A. Arias Montano, C. A. Coello Coello, and O. Schütze. Evolutionary Multi-objective Optimization in Space Mission Design. In Vasile et al. (eds.), Computational Intelligence in Aerospace Engineering, Springer, 2014.
  7. S. Salomon, C. Dominguez-Medina, G. Avigad, A. Freitas, A. Goldvard, O. Schütze, and H. Trautmann. PSA Based Multi Objective Evolutionary Algorithms in O. Schütze et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation III, Springer, 2013.
  8. O. Schütze, K. Witting, S. Ober-Blöbaum, and M. Dellnitz. Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems in E. Tantar et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Springer, 2013.
  9. A. Lara, O. Schütze, and C. A. Coello Coello. On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms in E. Tantar et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Springer, 2013.
  10. M. Dellnitz and O. Schütze. Multilevel Subdivision Techniques for Scalar Optimization Problems in J. Q. Sun et al. (eds.), Global Analysis of Nonlinear Dynamics, Springer, 2012.