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MPI-INF D1 Publications

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Your search returned the following 13 documents:

  1. Mutation rate matters even when optimizing monotonic functions
    Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, and Christine Zarges
    Evolutionary Computation 21 (1): 1-27, 2013
  2. When Do Evolutionary Algorithms Optimize Separable Functions in Parallel?
    Benjamin Doerr, Dirk Sudholt, and Carsten Witt
    In: ACM/SIGEVO Foundations of Genetic Algorithms (FOGA 2013), Adelaide, Australia, 2013, 51-63
  3. How crossover helps in pseudo-Boolean optimization
    Timo Kötzing, Dirk Sudholt, and Madeleine Theile
    In: GECCO 2011 : Genetic and Evolutionary Computation Conference, Dublin, Ireland, 2011, 989-996
  4. Runtime analysis of the 1-ANT ant colony optimizer
    Benjamin Doerr, Frank Neumann, Dirk Sudholt, and Carsten Witt
    Theoretical Computer Science 412 (17): 1629-1644, 2011
  5. Simple max-min ant systems and the optimization of linear pseudo-Boolean functions
    Timo Kötzing, Frank Neumann, Dirk Sudholt, and Markus Wagner
    In: FOGA'11 : Proceedings of the 2011 ACM/SIGEVO Foundations of Genetic Algorithms XI, Schwarzenberg, Austria, 2011, 209-218
  6. Optimizing Monotone Functions Can Be Difficult
    Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, and Christine Zarges
    In: Parallel Problem Solving from Nature - PPSN XI. - Pt. 1, Krakow, Poland, 2010, 42-51
  7. Analysis of Different MMAS ACO Algorithms on Unimodal Functions and Plateaus
    Frank Neumann, Dirk Sudholt, and Carsten Witt
    Swarm Intelligence 3 (1): 35-68, 2009
  8. Analysis of Diversity-Preserving Mechanisms for Global Exploration
    Tobias Friedrich, Pietro Oliveto, Dirk Sudholt, and Carsten Witt
    Evolutionary Computation 17 (4): 455-476, 2009
  9. Computational Complexity of Ant Colony Optimization and Its Hybridization with Local Search
    Frank Neumann, Dirk Sudholt, and Carsten Witt
    In: Innovations in Swarm Intelligence, 2009, 91-120
  10. Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search
    Frank Neumann, Dirk Sudholt, and Carsten Witt
    In: International Conference on Ant Colony Optimization and Swarm Intelligence 2008, Brussels, Belgium, 2008, 132-143
  11. Theoretical Analysis of Diversity Mechanisms for Global Exploration
    Tobias Friedrich, Pietro Oliveto, Dirk Sudholt, and Carsten Witt
    In: Proceedings of the 10th annual conference on Genetic and evolutionary computation (GECCO 2008), Atlanta, USA, 2008, 945-952
  12. Comparing Variants of MMAS ACO Algorithms on Pseudo-Boolean Functions
    Frank Neumann, Dirk Sudholt, and Carsten Witt
    In: Engineering Stochastic Local Search Algorithms 2007, Brussels, Belgium, 2007, 61-75

  13. On the Runtime Analysis of the 1-ANT ACO algorithm
    Benjamin Doerr, Frank Neumann, Dirk Sudholt, and Carsten Witt
    In: Genetic and Evolutionary Computation Conference 2007, London, UK, 2007, 33-40. Note: Best paper award