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Title:
Author:
Bernhard Sendhoff: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bernhard Sendhoff, Martin Kreutz
    Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1996, pp:257-268 [Conf]
  2. Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
    Adapting Weighted Aggregation for Multiobjective Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    EMO, 2001, pp:96-110 [Conf]
  3. Yaochu Jin, Bernhard Sendhoff
    Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:237-251 [Conf]
  4. Yaochu Jin, Bernhard Sendhoff, Edgar Körner
    Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:752-766 [Conf]
  5. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
    Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:832-846 [Conf]
  6. Lars Gräning, Yaochu Jin, Bernhard Sendhoff
    Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:273-278 [Conf]
  7. Christian Igel, Bernhard Sendhoff
    Synergies between Evolutionary and Neural Computation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:241-252 [Conf]
  8. Yaochu Jin, Bernhard Sendhoff
    Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2004, pp:525-536 [Conf]
  9. Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima
    Three dimensional evolutionary aerodynamic design optimization with CMA-ES. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:2173-2180 [Conf]
  10. Yaochu Jin, Bernhard Sendhoff
    Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:688-699 [Conf]
  11. Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
    On Evolutionary Optimization with Approximate Fitness Functions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:786-793 [Conf]
  12. Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
    Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:636-637 [Conf]
  13. Yaochu Jin, Bernhard Sendhoff
    Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:683- [Conf]
  14. Yaochu Jin, Bernhard Sendhoff
    Fitness Approximation In Evolutionary Computation - a Survey. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1105-1112 [Conf]
  15. Michael Nashvili, Markus Olhofer, Bernhard Sendhoff
    Morphing methods in evolutionary design optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:897-904 [Conf]
  16. Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
    On The Dynamics Of Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:247-256 [Conf]
  17. Peter Stagge, Bernhard Sendhoff
    An Extended Elman Net for Modeling Time Series. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:427-432 [Conf]
  18. Bernhard Sendhoff, Martin Kreutz, Werner von Seelen
    A Condition for the Genotype-Phenotype Mapping: Causality. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:73-80 [Conf]
  19. Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
    On Evolutionary Optimization of Large Problems Using Small Populations. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:1145-1154 [Conf]
  20. Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff
    A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:1112-1121 [Conf]
  21. Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger
    Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:253-262 [Conf]
  22. Vineet R. Khare, Bernhard Sendhoff, Xin Yao
    Environments Conducive to Evolution of Modularity. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:603-612 [Conf]
  23. Vineet R. Khare, Xin Yao, Bernhard Sendhoff
    Credit Assignment Among Neurons in Co-evolving Populations. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:882-891 [Conf]
  24. Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen
    Optimisation of Density Estimation Models with Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:998-1007 [Conf]
  25. Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
    On Test Functions for Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:792-802 [Conf]
  26. Stefan Menzel, Markus Olhofer, Bernhard Sendhoff
    Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:352-361 [Conf]
  27. Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
    Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:662-671 [Conf]
  28. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
    Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:443-452 [Conf]
  29. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
    Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2007, v:23, n:4, pp:658-670 [Journal]
  30. 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]
  31. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
    Inverse multi-objective robust evolutionary design. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2006, v:7, n:4, pp:383-404 [Journal]
  32. Yaochu Jin, Bernhard Sendhoff
    Extracting Interpretable Fuzzy Rules from RBF Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:2, pp:149-164 [Journal]
  33. Yaochu Jin, Bernhard Sendhoff
    Knowledge Incorporation into Neural Networks From Fuzzy Rules. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:10, n:3, pp:231-242 [Journal]
  34. Bernhard Sendhoff, Martin Kreutz
    A Model for the Dynamic Interaction Between Evolution and Learning. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:10, n:3, pp:181-193 [Journal]
  35. Michael Hüsken, Yaochu Jin, Bernhard Sendhoff
    Structure optimization of neural networks for evolutionary design optimization. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:1, pp:21-28 [Journal]
  36. Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
    A framework for evolutionary optimization with approximate fitness functions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:5, pp:481-494 [Journal]
  37. 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]
  38. Yaochu Jin, Werner von Seelen, Bernhard Sendhoff
    On generating FC3 fuzzy rule systems from data using evolution strategies. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:6, pp:829-845 [Journal]
  39. Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
    Evolutionary optimization of a hierarchical object recognition model. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:3, pp:426-437 [Journal]
  40. Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisantha Fernando
    On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. [Citation Graph (0, 0)][DBLP]
    ECAL, 2007, pp:355-364 [Conf]
  41. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
    Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:617-623 [Conf]
  42. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
    A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1288-1295 [Conf]
  43. Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
    Evolutionary Multi-objective Optimization of Spiking Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:370-379 [Conf]
  44. 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]
  45. Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
    Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:382-389 [Conf]
  46. Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
    A new approach to dynamics analysis of genetic algorithms without selection. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:374-381 [Conf]
  47. Martina Hasenjäger, Bernhard Sendhoff
    Crawling along the Pareto front: tales from the practice. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:174-181 [Conf]
  48. Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
    Co-evolutionary modular neural networks for automatic problem decomposition. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2691-2698 [Conf]

  49. A cellular model for the evolutionary development of lightweight material with an inner structure. [Citation Graph (, )][DBLP]


  50. Evolving heterochrony for cellular differentiation using vector field embryogeny. [Citation Graph (, )][DBLP]


  51. Evolutionary Optimization with Dynamic Fidelity Computational Models. [Citation Graph (, )][DBLP]


  52. A Gene Regulatory Model for the Development of Primitive Nervous Systems. [Citation Graph (, )][DBLP]


  53. Evolution of Neural Organization in a Hydra-Like Animat. [Citation Graph (, )][DBLP]


  54. Knowledge Extraction from Unstructured Surface Meshes. [Citation Graph (, )][DBLP]


  55. Interaction Detection in Aerodynamic Design Data. [Citation Graph (, )][DBLP]


  56. Generalization Improvement in Multi-Objective Learning. [Citation Graph (, )][DBLP]


  57. Alleviating Catastrophic Forgetting via Multi-Objective Learning. [Citation Graph (, )][DBLP]


  58. Prediction of convergence dynamics of design performance using differential recurrent neural networks. [Citation Graph (, )][DBLP]


  59. Word Recognition with a Hierarchical Neural Network. [Citation Graph (, )][DBLP]


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


  61. Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. [Citation Graph (, )][DBLP]


  62. Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. [Citation Graph (, )][DBLP]


  63. Comparative studies on micro heat exchanger optimisation. [Citation Graph (, )][DBLP]


  64. Adaptivemodelling strategy for continuous multi-objective optimization. [Citation Graph (, )][DBLP]


  65. Target shape design optimization by evolving splines. [Citation Graph (, )][DBLP]


  66. Emergence of feedback in artificial gene regulatory networks. [Citation Graph (, )][DBLP]


  67. Toward a gene regulatory network model for evolving chemotaxis behavior. [Citation Graph (, )][DBLP]


  68. Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. [Citation Graph (, )][DBLP]


  69. Combination of EDA and DE for continuous biobjective optimization. [Citation Graph (, )][DBLP]


  70. Global shape with morphogen gradients and motile polarized cells. [Citation Graph (, )][DBLP]


  71. The Influence of Learning on Evolution: A Mathematical Framework. [Citation Graph (, )][DBLP]


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