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Nikolaus Hansen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christian Igel, Thorsten Suttorp, Nikolaus Hansen
    Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:171-185 [Conf]
  2. Anne Auger, Nikolaus Hansen
    Reconsidering the progress rate theory for evolution strategies in finite dimensions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:445-452 [Conf]
  3. Christian Igel, Thorsten Suttorp, Nikolaus Hansen
    A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:453-460 [Conf]
  4. Nikolaus Hansen, Andreas Ostermeier
    Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:312-317 [Conf]
  5. Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk
    On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation. [Citation Graph (0, 0)][DBLP]
    ICGA, 1995, pp:57-64 [Conf]
  6. Nikolaus Hansen
    Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:355-364 [Conf]
  7. Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos
    When Do Heavy-Tail Distributions Help? [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:62-71 [Conf]
  8. Nikolaus Hansen, Stefan Kern
    Evaluating the CMA Evolution Strategy on Multimodal Test Functions. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:282-291 [Conf]
  9. Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos
    Local Meta-models for Optimization Using Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:939-948 [Conf]
  10. Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos
    A Mixed Bayesian Optimization Algorithm with Variance Adaptation. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:352-361 [Conf]
  11. Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen
    Step-Size Adaption Based on Non-Local Use of Selection Information. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:189-198 [Conf]
  12. Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos
    Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:422-431 [Conf]
  13. Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen
    A Derandomized Approach to Self Adaptation of Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1994, v:2, n:4, pp:369-380 [Journal]
  14. Nikolaus Hansen, Sibylle D. Müller, Petros Koumoutsakos
    Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES). [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:1, pp:1-18 [Journal]
  15. Nikolaus Hansen, Andreas Ostermeier
    Completely Derandomized Self-Adaptation in Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2001, v:9, n:2, pp:159-195 [Journal]
  16. Nikolaus Hansen
    An Analysis of Mutative sigma-Self-Adaptation on Linear Fitness Functions. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:3, pp:255-275 [Journal]
  17. Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos
    Learning probability distributions in continuous evolutionary algorithms - a comparative review. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2004, v:3, n:1, pp:77-112 [Journal]
  18. Stefan Kern, Sibylle D. Müller, Nikolaus Hansen, Dirk Büche, Jiri Ocenasek, Petros Koumoutsakos
    Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2004, v:3, n:3, pp:355-356 [Journal]
  19. Anne Auger, Nikolaus Hansen
    A restart CMA evolution strategy with increasing population size. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1769-1776 [Conf]
  20. Anne Auger, Nikolaus Hansen
    Performance evaluation of an advanced local search evolutionary algorithm. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1777-1784 [Conf]

  21. Recombination for Learning Strategy Parameters in the MO-CMA-ES. [Citation Graph (, )][DBLP]


  22. Evolution strategies and related estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  23. Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed. [Citation Graph (, )][DBLP]


  24. Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed. [Citation Graph (, )][DBLP]


  25. Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed. [Citation Graph (, )][DBLP]


  26. Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. [Citation Graph (, )][DBLP]


  27. Benchmarking the nelder-mead downhill simplex algorithm with many local restarts. [Citation Graph (, )][DBLP]


  28. Improved step size adaptation for the MO-CMA-ES. [Citation Graph (, )][DBLP]


  29. Active covariance matrix adaptation for the (1+1)-CMA-ES. [Citation Graph (, )][DBLP]


  30. Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  31. Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  32. Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  33. Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  34. Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009. [Citation Graph (, )][DBLP]


  35. Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  36. Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noiseless testbed. [Citation Graph (, )][DBLP]


  37. Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed. [Citation Graph (, )][DBLP]


  38. Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  39. Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed. [Citation Graph (, )][DBLP]


  40. Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  41. Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  42. Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  43. Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  44. Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]


  45. A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity. [Citation Graph (, )][DBLP]


  46. Adaptive Encoding: How to Render Search Coordinate System Invariant. [Citation Graph (, )][DBLP]


  47. Mirrored Sampling and Sequential Selection for Evolution Strategies. [Citation Graph (, )][DBLP]


  48. Experimental Comparisons of Derivative Free Optimization Algorithms. [Citation Graph (, )][DBLP]


  49. CMA-ES with Two-Point Step-Size Adaptation [Citation Graph (, )][DBLP]


  50. Experimental Comparisons of Derivative Free Optimization Algorithms [Citation Graph (, )][DBLP]


  51. Covariance Matrix Adaptation for Multi-objective Optimization. [Citation Graph (, )][DBLP]


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