The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.006secs, Finished in 0.008secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002