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Martin Pelikan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Martin V. Butz, Martin Pelikan
    Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1449-1456 [Conf]
  2. Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
    Extracted global structure makes local building block processing effective in XCS. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:655-662 [Conf]
  3. Nazan Khan, David E. Goldberg, Martin Pelikan
    Multiple-objective Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:684- [Conf]
  4. Fernando G. Lobo, David E. Goldberg, Martin Pelikan
    Time Complexity of genetic algorithms on exponentially scaled problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:151-158 [Conf]
  5. Jiri Ocenasek, Josef Schwarz, Martin Pelikan
    Design of Multithreaded Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1247-1258 [Conf]
  6. Radovan Ondas, Martin Pelikan, Kumara Sastry
    Scalability of genetic programming and probabilistic incremental program evolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1785-1786 [Conf]
  7. Martin Pelikan, David E. Goldberg
    Hierarchical Problem Solving and the Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:267-274 [Conf]
  8. Martin Pelikan, David E. Goldberg
    Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1271-1282 [Conf]
  9. Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
    Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:275-282 [Conf]
  10. Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
    Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:512-519 [Conf]
  11. Martin Pelikan, Fernando G. Lobo
    Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:370- [Conf]
  12. Martin Pelikan, Tz-Kai Lin
    Parameter-Less Hierarchical BOA. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:24-35 [Conf]
  13. Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
    Computational Complexity and Simulation of Rare Events of Ising Spin Glasses. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:36-47 [Conf]
  14. Martin Pelikan, Kumara Sastry
    Fitness Inheritance in the Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:48-59 [Conf]
  15. Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
    Hierarchical BOA on random decomposable problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:431-432 [Conf]
  16. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Multiobjective hBOA, clustering, and scalability. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:663-670 [Conf]
  17. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Sporadic model building for efficiency enhancement of hierarchical BOA. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:405-412 [Conf]
  18. Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo
    Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:232-241 [Conf]
  19. Martin Pelikan, David E. Goldberg
    Genetic Algorithms, Clustering, and the Breaking of Symmetry. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:385-394 [Conf]
  20. Martin Pelikan, Alexander K. Hartmann, Kumara Sastry
    Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:122-131 [Conf]
  21. Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
    Performance of Evolutionary Algorithms on Random Decomposable Problems. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:788-797 [Conf]
  22. Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
    Computational complexity and simulation of rare events of Ising spin glasses [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  23. Martin Pelikan, Tz-Kai Lin
    Parameter-less hierarchical BOA [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  24. Martin Pelikan, Kumara Sastry
    Fitness inheritance in the Bayesian optimization algorithm [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  25. Kumara Sastry, David E. Goldberg, Martin Pelikan
    Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  26. Kumara Sastry, Martin Pelikan, David E. Goldberg
    Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  27. Jiri Ocenasek, Martin Pelikan
    Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  28. Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
    Linkage Problem, Distribution Estimation, and Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2000, v:8, n:3, pp:311-340 [Journal]
  29. Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
    Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:3, pp:345-380 [Journal]
  30. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Scalability of the Bayesian optimization algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:31, n:3, pp:221-258 [Journal]
  31. Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
    Edge histogram based sampling with local search for solving permutation problems. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2006, v:3, n:1, pp:11-22 [Journal]
  32. Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
    Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:156, n:3-4, pp:147-171 [Journal]
  33. Kumara Sastry, Martin Pelikan, David E. Goldberg
    Empirical analysis of ideal recombination on random decomposable problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1388-1395 [Conf]
  34. Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala
    Dependency trees, permutations, and quadratic assignment problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:629- [Conf]
  35. Martin Pelikan, Alexander K. Hartmann
    Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:628- [Conf]
  36. Martin Pelikan, James D. Laury Jr.
    Order or not: does parallelization of model building in hBOA affect its scalability? [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:555-561 [Conf]
  37. Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann
    Hybrid evolutionary algorithms on minimum vertex cover for random graphs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:547-554 [Conf]
  38. Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
    Population sizing for entropy-based model building in discrete estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:601-608 [Conf]
  39. Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry
    Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:523-530 [Conf]
  40. Martin Pelikan
    Probabilistic model-building genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3537-3562 [Conf]
  41. Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
    Performance of aggregation pheromone system on unimodal and multimodal problems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:880-887 [Conf]
  42. Kumara Sastry, David E. Goldberg, Martin Pelikan
    Limits of scalability of multiobjective estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2217-2224 [Conf]
  43. Radovan Ondas, Martin Pelikan, Kumara Sastry
    Scalability of Genetic Programming and Probabilistic Incremental Program Evolution [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  44. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Multiobjective hBOA, Clustering, and Scalability [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  45. Kumara Sastry, Martin Pelikan, David E. Goldberg
    Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]

  46. An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. [Citation Graph (, )][DBLP]


  47. Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. [Citation Graph (, )][DBLP]


  48. iBOA: the incremental bayesian optimization algorithm. [Citation Graph (, )][DBLP]


  49. From mating pool distributions to model overfitting. [Citation Graph (, )][DBLP]


  50. Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. [Citation Graph (, )][DBLP]


  51. Using previous models to bias structural learning in the hierarchical BOA. [Citation Graph (, )][DBLP]


  52. Probabilistic model-building genetic algorithms. [Citation Graph (, )][DBLP]


  53. Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. [Citation Graph (, )][DBLP]


  54. Intelligent bias of network structures in the hierarchical BOA. [Citation Graph (, )][DBLP]


  55. Initial-population bias in the univariate estimation of distribution algorithm. [Citation Graph (, )][DBLP]


  56. Effects of a deterministic hill climber on hBOA. [Citation Graph (, )][DBLP]


  57. Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. [Citation Graph (, )][DBLP]


  58. Probabilistic model-building genetic algorithms. [Citation Graph (, )][DBLP]


  59. Network crossover performance on NK landscapes and deceptive problems. [Citation Graph (, )][DBLP]


  60. Spurious dependencies and EDA scalability. [Citation Graph (, )][DBLP]


  61. NK landscapes, problem difficulty, and hybrid evolutionary algorithms. [Citation Graph (, )][DBLP]


  62. Probabilistic model-building genetic algorithms. [Citation Graph (, )][DBLP]


  63. Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions. [Citation Graph (, )][DBLP]


  64. Performance of Network Crossover on NK Landscapes and Spin Glasses. [Citation Graph (, )][DBLP]


  65. Influence of selection and replacement strategies on linkage learning in BOA. [Citation Graph (, )][DBLP]


  66. Loopy Substructural Local Search for the Bayesian Optimization Algorithm. [Citation Graph (, )][DBLP]


  67. Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes [Citation Graph (, )][DBLP]


  68. iBOA: The Incremental Bayesian Optimization Algorithm [Citation Graph (, )][DBLP]


  69. Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. [Citation Graph (, )][DBLP]


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