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Dirk Thierens: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Madalina M. Drugan, Dirk Thierens
    Evolutionary Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2003, pp:63-76 [Conf]
  2. Dirk Thierens
    An Adaptive Pursuit Strategy for Allocating Operator Probabilities. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:385-386 [Conf]
  3. Edwin D. de Jong, Richard A. Watson, Dirk Thierens
    On the Complexity of Hierarchical Problem Solving. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:339-340 [Conf]
  4. Peter A. N. Bosman, Dirk Thierens
    The Naive MIDEA: A Baseline Multi-objective EA. [Citation Graph (0, 0)][DBLP]
    EMO, 2005, pp:428-442 [Conf]
  5. Dirk Thierens
    Convergence Time Analysis for the Multi-objective Counting Ones Problem. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:355-364 [Conf]
  6. Peter A. N. Bosman, Dirk Thierens
    Linkage Information Processing In Distribution Estimation Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:60-67 [Conf]
  7. Steven van Dijk, Dirk Thierens, Mark de Berg
    On The Design of Genetic Algorithms for Geographical Applications. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:188-195 [Conf]
  8. Steven van Dijk, Dirk Thierens, Linda C. van der Gaag
    Building a GA from Design Principles for Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:886-897 [Conf]
  9. Edwin D. de Jong, Dirk Thierens
    Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1030-1041 [Conf]
  10. Edwin D. de Jong, Richard A. Watson, Dirk Thierens
    On the complexity of hierarchical problem solving. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1201-1208 [Conf]
  11. Edwin D. de Jong, Richard A. Watson, Dirk Thierens
    A generator for hierarchical problems. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:321-326 [Conf]
  12. Dirk Thierens
    Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:234-245 [Conf]
  13. Dirk Thierens
    An adaptive pursuit strategy for allocating operator probabilities. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1539-1546 [Conf]
  14. Dirk Thierens
    Non-Redundant Genetic Coding of Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:571-575 [Conf]
  15. Dirk Thierens, David E. Goldberg
    Elitist Recombination: An Integrated Selection Recombination GA. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:508-512 [Conf]
  16. Dirk Thierens
    Selection Schemes, Elitist Recombination, and Selection Intensity. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:152-159 [Conf]
  17. Dirk Thierens, David E. Goldberg
    Mixing in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:38-47 [Conf]
  18. Steven van Dijk, Linda C. van der Gaag, Dirk Thierens
    A Skeleton-Based Approach to Learning Bayesian Networks from Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:132-143 [Conf]
  19. Peter A. N. Bosman, Dirk Thierens
    Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:767-776 [Conf]
  20. Peter A. N. Bosman, Dirk Thierens
    Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:331-340 [Conf]
  21. Steven van Dijk, Dirk Thierens
    On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:141-150 [Conf]
  22. Steven van Dijk, Dirk Thierens, Mark de Berg
    Scalability and Efficiency of Genetic Algorithms for Geometrical Applications. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:683-692 [Conf]
  23. Edwin D. de Jong, Dirk Thierens, Richard A. Watson
    Hierarchical Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:232-241 [Conf]
  24. Dirk Thierens
    Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation Problems. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:1028-1037 [Conf]
  25. Dirk Thierens
    Dimensional Analysis of Allele-Wise Mixing Revisited. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:255-265 [Conf]
  26. Dirk Thierens, David E. Goldberg
    Convergence Models of Genetic Algorithm Selection Schemes. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:119-129 [Conf]
  27. Dirk Thierens, Leo Vercauteren
    A Topology Exploiting Genetic Algorithm to Control Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    PPSN, 1990, pp:104-108 [Conf]
  28. Dirk Thierens
    Scalability Problems of Simple Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:4, pp:331-352 [Journal]
  29. Steven van Dijk, Dirk Thierens, Mark de Berg
    On the Design and Analysis of Competent Selecto-recombinative GAs. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2004, v:12, n:2, pp:243-267 [Journal]
  30. Steven van Dijk, Dirk Thierens, Mark de Berg
    Using Genetic Algorithms for Solving Hard Problems in GIS. [Citation Graph (0, 0)][DBLP]
    GeoInformatica, 2002, v:6, n:4, pp:381-413 [Journal]
  31. Peter A. N. Bosman, Dirk Thierens
    Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:31, n:3, pp:259-289 [Journal]
  32. Peter A. N. Bosman, Dirk Thierens
    The balance between proximity and diversity in multiobjective evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2003, v:7, n:2, pp:174-188 [Journal]
  33. Peter A. N. Bosman, Dirk Thierens
    Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:500-507 [Conf]
  34. Madalina M. Drugan, Dirk Thierens
    Recombinative EMCMC algorithms. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2024-2031 [Conf]

  35. A bivariate probabilistic model-building genetic algorithm for graph bipartitioning. [Citation Graph (, )][DBLP]


  36. AMaLGaM IDEAs in noisy black-box optimization benchmarking. [Citation Graph (, )][DBLP]


  37. On benchmark properties for adaptive operator selection. [Citation Graph (, )][DBLP]


  38. AMaLGaM IDEAs in noiseless black-box optimization benchmarking. [Citation Graph (, )][DBLP]


  39. Linkage tree genetic algorithm: first results. [Citation Graph (, )][DBLP]


  40. Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. [Citation Graph (, )][DBLP]


  41. Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. [Citation Graph (, )][DBLP]


  42. The Linkage Tree Genetic Algorithm. [Citation Graph (, )][DBLP]


  43. Adaptive Operator Selection for Iterated Local Search. [Citation Graph (, )][DBLP]


  44. Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. [Citation Graph (, )][DBLP]


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