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Hans-Georg Beyer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hans-Georg Beyer, Thomas Jansen, Colin R. Reeves, Michael D. Vose
    04081 Abstracts Collection - Theory of Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Theory of Evolutionary Algorithms, 2004, pp:- [Conf]
  2. Hans-Georg Beyer
    On the "Explorative Power" of ES/EP-like Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:323-334 [Conf]
  3. Hans-Georg Beyer, David B. Fogel
    A Note on the Escape Probabilities for Two Alternative Methods of Selection Under Gaussian Mutation. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:265-274 [Conf]
  4. Hans-Thomas Nürnberg, Hans-Georg Beyer
    The Dynamics of Evolution Strategies in the Optimization of Traveling Salesman Problems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:349-360 [Conf]
  5. Hans-Georg Beyer
    On the Dynamics of EAs without Selection. [Citation Graph (0, 0)][DBLP]
    FOGA, 1998, pp:5-26 [Conf]
  6. Hans-Georg Beyer, Silja Meyer-Nieberg
    On the Prediction of the Solution Quality in Noisy Optimization. [Citation Graph (0, 0)][DBLP]
    FOGA, 2005, pp:238-259 [Conf]
  7. Hans-Georg Beyer
    Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:654-665 [Conf]
  8. Hans-Georg Beyer, Dirk V. Arnold
    The Steady State Behavior of (µ/µI, lambda)-ES on Ellipsoidal Fitness Models Disturbed by Noise. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:525-536 [Conf]
  9. Hans-Georg Beyer, Dirk V. Arnold
    Fitness Noise and Localization Errors of the Optimum in General Quadratic Fitness Models. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:817-824 [Conf]
  10. Kalyanmoy Deb, Hans-Georg Beyer
    Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:172-179 [Conf]
  11. Dirk V. Arnold, Hans-Georg Beyer
    On the Effects of Outliers on Evolutionary Optimization. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:151-160 [Conf]
  12. Hans-Georg Beyer, Kalyanmoy Deb
    On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:59-68 [Conf]
  13. Hans-Georg Beyer
    Mutate Large, But Inherit Small! On the Analysis of Rescaled Mutations in 1-lambda-ES with Noisy Fitness Data. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:109-118 [Conf]
  14. Dirk V. Arnold, Hans-Georg Beyer
    Efficiency and Mutation Strength Adaptation of the (mu, muI, lambda)-ES in a Noisy Environment. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:39-48 [Conf]
  15. Dirk V. Arnold, Hans-Georg Beyer
    Random Dynamics Optimum Tracking with Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:3-12 [Conf]
  16. Hans-Georg Beyer, Silja Meyer-Nieberg
    On the Quality Gain of (1, lambda)-ES Under Fitness Noise. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1-10 [Conf]
  17. Hans-Georg Beyer, Silja Meyer-Nieberg
    Self-adaptation on the Ridge Function Class: First Results for the Sharp Ridge. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:72-81 [Conf]
  18. Hans-Georg Beyer
    Some Aspects of the `Evolution Strategiy' for Solving TSP-Like Optimization Problems Appearing at the Design Studies of a 0.5 TeV e+e--Linear Collider. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:363-372 [Conf]
  19. Hans-Georg Beyer
    Towards a Theory of 'Evolution Strategies': Results for (1+, \lambda)-Strategies on (Nearly) Arbitrary Fitness Functions. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:58-67 [Conf]
  20. Hans-Georg Beyer
    On the Asymptotic Behavior of Multirecombinant Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:122-133 [Conf]
  21. Ahmet Irfan Oyman, Hans-Georg Beyer, Hans-Paul Schwefel
    Where Elitists Start Limping Evolution Strategies at Ridge Functions. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:34-46 [Conf]
  22. Dirk V. Arnold, Hans-Georg Beyer
    On the Benefits of Populations for Noisy Optimization. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:2, pp:111-127 [Journal]
  23. Hans-Georg Beyer
    Toward a Theory of Evolution Strategies: Some Asymptotical Results from the (1, +lambda)-Theory. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1993, v:1, n:2, pp:165-188 [Journal]
  24. Hans-Georg Beyer
    Toward a Theory of Evolution Strategies: The (mue, lambda)-Theory. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1994, v:2, n:4, pp:381-407 [Journal]
  25. Hans-Georg Beyer
    Toward a Theory of Evolution Strategies: On the Benefit of Sex - the (mu/mu, lambda)-Theory. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1995, v:3, n:1, pp:81-111 [Journal]
  26. Hans-Georg Beyer
    Towards a Theory of Evolution Strategies: Self-Adaptation. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1995, v:3, n:3, pp:311-347 [Journal]
  27. Hans-Georg Beyer, Dirk V. Arnold
    Qualms Regarding the Optimality of Cumulative Path Length Control in CSA/CMA-Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:1, pp:19-28 [Journal]
  28. Kalyanmoy Deb, Hans-Georg Beyer
    Self-Adaptive Genetic Algorithms with Simulated Binary Crossover. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2001, v:9, n:2, pp:197-221 [Journal]
  29. David B. Fogel, Hans-Georg Beyer
    A Note on the Empirical Evaluation of Intermediate Recombination. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1995, v:3, n:4, pp:491-495 [Journal]
  30. Ahmet Irfan Oyman, Hans-Georg Beyer, Hans-Paul Schwefel
    Analysis of the (1, lambda)-ES on the Parabolic Ridge. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2000, v:8, n:3, pp:249-265 [Journal]
  31. Ahmet Irfan Oyman, Hans-Georg Beyer
    Analysis of the (µ/µ, lambda)-ES on the Parabolic Ridge. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2000, v:8, n:3, pp:267-289 [Journal]
  32. Dirk V. Arnold, Hans-Georg Beyer
    Optimum Tracking with Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:3, pp:291-308 [Journal]
  33. Hans-Georg Beyer, Dirk V. Arnold, Silja Meyer-Nieberg
    A New Approach for Predicting the Final Outcome of Evolution Strategy Optimization Under Noise. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2005, v:6, n:1, pp:7-24 [Journal]
  34. Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
    On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2004, v:5, n:4, pp:327-360 [Journal]
  35. Hans-Georg Beyer, Silja Meyer-Nieberg
    Self-adaptation of evolution strategies under noisy fitness evaluations. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2006, v:7, n:4, pp:295-328 [Journal]
  36. Hans-Georg Beyer
    Special Issue: Best of GECCO 2005. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2006, v:7, n:2, pp:129-130 [Journal]
  37. Hans-Georg Beyer, Hans-Paul Schwefel
    Evolution strategies - A comprehensive introduction. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2002, v:1, n:1, pp:3-52 [Journal]
  38. Hans-Georg Beyer
    Special Issue: Best of GECCO 2005. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2006, v:5, n:3, pp:225-227 [Journal]
  39. Dirk V. Arnold, Hans-Georg Beyer
    Performance analysis of evolution strategies with multi-recombination in high-dimensional RN-search spaces disturbed by noise. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:289, n:1, pp:629-647 [Journal]
  40. Hans-Georg Beyer, Hans-Paul Schwefel, Ingo Wegener
    How to analyse evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:287, n:1, pp:101-130 [Journal]
  41. Dirk V. Arnold, Hans-Georg Beyer
    Local performance of the (1 + 1)-ES in a noisy environment. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:1, pp:30-41 [Journal]
  42. Hans-Georg Beyer
    The simple genetic algorithm-foundations and theory. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:2, pp:191-192 [Journal]
  43. Hans-Georg Beyer
    On the performance of (1, Lambda)-evolution strategies for the ridge function class. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2001, v:5, n:3, pp:218-235 [Journal]
  44. Hans-Georg Beyer, Kalyanmoy Deb
    On self-adaptive features in real-parameter evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2001, v:5, n:3, pp:250-270 [Journal]
  45. Hans-Georg Beyer, Bernhard Sendhoff
    Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2006, v:10, n:5, pp:507-526 [Journal]
  46. Dirk V. Arnold, Hans-Georg Beyer
    A general noise model and its effects on evolution strategy performance. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2006, v:10, n:4, pp:380-391 [Journal]
  47. Silja Meyer-Nieberg, Hans-Georg Beyer
    Mutative Self-adaptation on the Sharp and Parabolic Ridge. [Citation Graph (0, 0)][DBLP]
    FOGA, 2007, pp:70-96 [Conf]
  48. Hans-Georg Beyer, Bernhard Sendhoff
    Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:17-24 [Conf]
  49. Silja Meyer-Nieberg, Hans-Georg Beyer
    On the analysis of self-adaptive recombination strategies: first results. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2341-2348 [Conf]

  50. Why noise may be good: additive noise on the sharp ridge. [Citation Graph (, )][DBLP]


  51. Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombination. [Citation Graph (, )][DBLP]


  52. On strategy parameter control by Meta-ES. [Citation Graph (, )][DBLP]


  53. On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functions. [Citation Graph (, )][DBLP]


  54. On the analysis of self-adaptive evolution strategies on elliptic model: first results. [Citation Graph (, )][DBLP]


  55. Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed. [Citation Graph (, )][DBLP]


  56. Benchmarking SPSA on BBOB-2010 noisy function testbed. [Citation Graph (, )][DBLP]


  57. Benchmarking SPSA on BBOB-2010 noiseless function testbed. [Citation Graph (, )][DBLP]


  58. Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed. [Citation Graph (, )][DBLP]


  59. Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -. [Citation Graph (, )][DBLP]


  60. sigma-Self-Adaptive Weighted Multirecombination Evolution Strategy with Scaled Weights on the Noisy Sphere. [Citation Graph (, )][DBLP]


  61. On the performance of evolution strategies on noisy PDQFs: Progress rate analysis. [Citation Graph (, )][DBLP]


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