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David E. Goldberg: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Lashon B. Booker, David E. Goldberg, John H. Holland
    Classifier Systems and Genetic Algorithms. [Citation Graph (1, 0)][DBLP]
    Artif. Intell., 1989, v:40, n:1-3, pp:235-282 [Journal]
  2. Martin Butz, David E. Goldberg
    Generalized State Values in an Anticipatory Learning Classifier System. [Citation Graph (0, 0)][DBLP]
    Anticipatory Behavior in Adaptive Learning Systems, 2003, pp:282-301 [Conf]
  3. David E. Goldberg
    Little Models, Big Results. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:4- [Conf]
  4. Kumara Sastry, Hussein A. Abbass, David E. Goldberg
    Sub-structural Niching in Non-stationary Environments. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:873-885 [Conf]
  5. David E. Goldberg, Una-May O'Reilly
    Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 1998, pp:16-36 [Conf]
  6. Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima
    Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:740-751 [Conf]
  7. Robert E. Smith, David E. Goldberg
    Variable Default Hierarchy Separation in a Classifier System. [Citation Graph (0, 0)][DBLP]
    FOGA, 1990, pp:148-167 [Conf]
  8. Clayton L. Bridges, David E. Goldberg
    The Nonuniform Walsh-Schema Transform. [Citation Graph (0, 0)][DBLP]
    FOGA, 1990, pp:13-22 [Conf]
  9. Kalyanmoy Deb, David E. Goldberg
    Analyzing Deception in Trap Functions. [Citation Graph (0, 0)][DBLP]
    FOGA, 1992, pp:93-108 [Conf]
  10. David E. Goldberg, Kalyanmoy Deb
    A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    FOGA, 1990, pp:69-93 [Conf]
  11. David E. Goldberg, Kalyanmoy Deb, James H. Clark
    Accounting for Noise in the Sizing of Populations. [Citation Graph (0, 0)][DBLP]
    FOGA, 1992, pp:127-140 [Conf]
  12. Georges R. Harik, David E. Goldberg
    Learning Linkage. [Citation Graph (0, 0)][DBLP]
    FOGA, 1996, pp:247-262 [Conf]
  13. Jeffrey Horn, David E. Goldberg
    Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. [Citation Graph (0, 0)][DBLP]
    FOGA, 1994, pp:243-269 [Conf]
  14. Jeffrey Horn, David E. Goldberg
    Toward a Control Map for Niching. [Citation Graph (0, 0)][DBLP]
    FOGA, 1998, pp:287-310 [Conf]
  15. Hillol Kargupta, David E. Goldberg
    SEARCH, Blackbox Optimization, And Sample Complexity. [Citation Graph (0, 0)][DBLP]
    FOGA, 1996, pp:291-324 [Conf]
  16. Chang Wook Ahn, R. S. Ramakrishna, David E. Goldberg
    Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:840-851 [Conf]
  17. Laura A. Albert, David E. Goldberg
    Efficient Discretization Scheduling In Multiple Dimensions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:271-278 [Conf]
  18. Martin Butz, David E. Goldberg
    Bounding the Population Size in XCS to Ensure Reproductive Opportunities. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1844-1856 [Conf]
  19. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Bounding Learning Time in XCS. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:739-750 [Conf]
  20. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:751-762 [Conf]
  21. Martin Butz, David E. Goldberg, Wolfgang Stolzmann
    Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:42-49 [Conf]
  22. 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]
  23. Martin Butz, Kumara Sastry, David E. Goldberg
    Tournament Selection: Stable Fitness Pressure in XCS. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1857-1869 [Conf]
  24. Erick Cantú-Paz, David E. Goldberg
    Are Multiple Runs of Genetic Algorithms Better than One? [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:801-812 [Conf]
  25. Ying-Ping Chen, David E. Goldberg
    An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:825-836 [Conf]
  26. Ying-Ping Chen, David E. Goldberg
    Tightness Time for the Linkage Learning Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:837-849 [Conf]
  27. Ying-Ping Chen, David E. Goldberg
    Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:971-982 [Conf]
  28. Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry
    Fitness Inheritance In Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:319-326 [Conf]
  29. Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
    Quality-time analysis of multi-objective evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1455-1462 [Conf]
  30. Felipe P. Espinoza, Barbara S. Minsker, David E. Goldberg
    Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA). [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:922-933 [Conf]
  31. David E. Goldberg
    Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:212-219 [Conf]
  32. David E. Goldberg, Siegfried Vössner
    Optimizing Global-Local Search Hybrids. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:220-228 [Conf]
  33. Clarissa Van Hoyweghen, David E. Goldberg, Bart Naudts
    From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:626-633 [Conf]
  34. Nazan Khan, David E. Goldberg, Martin Pelikan
    Multiple-objective Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:684- [Conf]
  35. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    Extending XCSF beyond linear approximation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1827-1834 [Conf]
  36. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction in multistep environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1859-1866 [Conf]
  37. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    Classifier prediction based on tile coding. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1497-1504 [Conf]
  38. Dimitri Knjazew, David E. Goldberg
    OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:181-188 [Conf]
  39. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1505-1512 [Conf]
  40. Alexander Kosorukoff, David E. Goldberg
    Evolutionary Computation As A Form Of Organization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:965-972 [Conf]
  41. Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo
    Combining competent crossover and mutation operators: a probabilistic model building approach. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:735-742 [Conf]
  42. Xavier Llorà, David E. Goldberg
    Wise Breeding GA via Machine Learning Techniques for Function Optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1172-1183 [Conf]
  43. Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, David E. Goldberg, Michael Welge
    Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:1314-1315 [Conf]
  44. Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge
    Analyzing active interactive genetic algorithms using visual analytics. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1417-1418 [Conf]
  45. Xavier Llorà, Kumara Sastry, David E. Goldberg
    The compact classifier system: motivation, analysis, and first results. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1993-1994 [Conf]
  46. Xavier Llorà, Kumara Sastry, David E. Goldberg
    Binary rule encoding schemes: a study using the compact classifier system. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:88-89 [Conf]
  47. Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi
    Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1363-1370 [Conf]
  48. 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]
  49. Tian-Li Yu, David E. Goldberg
    Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:367-378 [Conf]
  50. Tian-Li Yu, David E. Goldberg
    Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:355-366 [Conf]
  51. Tian-Li Yu, David E. Goldberg
    Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1385-1392 [Conf]
  52. Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg
    Inducing Sequentiality Using Grammatical Genetic Codes. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1426-1437 [Conf]
  53. Gerulf K. M. Pedersen, David E. Goldberg
    Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:11-23 [Conf]
  54. Martin Pelikan, David E. Goldberg
    Hierarchical Problem Solving and the Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:267-274 [Conf]
  55. Martin Pelikan, David E. Goldberg
    Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1271-1282 [Conf]
  56. 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]
  57. 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]
  58. 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]
  59. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Multiobjective hBOA, clustering, and scalability. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:663-670 [Conf]
  60. 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]
  61. Franz Rothlauf, David E. Goldberg, Armin Heinzl
    Bad Codings and the Utility of Well-Designed Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:355-364 [Conf]
  62. Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
    Sub-structural niching in estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:671-678 [Conf]
  63. Kumara Sastry, David E. Goldberg
    Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:528-535 [Conf]
  64. Kumara Sastry, David E. Goldberg
    Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:536-543 [Conf]
  65. Kumara Sastry, David E. Goldberg
    Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1332-1344 [Conf]
  66. Kumara Sastry, David E. Goldberg
    Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:114-125 [Conf]
  67. Kumara Sastry, David E. Goldberg
    Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:126-137 [Conf]
  68. Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens
    Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1745-1752 [Conf]
  69. Kumara Sastry, Cláudio F. Lima, David E. Goldberg
    Evaluation relaxation using substructural information and linear estimation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:419-426 [Conf]
  70. Abhishek Singh, David E. Goldberg, Ying-Ping Chen
    Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:699- [Conf]
  71. Abhishek Singh, David E. Goldberg, Ying-Ping Chen
    Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:419-426 [Conf]
  72. Kurian K. Tharakunnel, Martin Butz, David E. Goldberg
    Towards Building Block Propagation in XCS: A Negative Result and Its Implications. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1906-1917 [Conf]
  73. Paul Winward, David E. Goldberg
    Fluctuating crosstalk, deterministic noise, and GA scalability. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1361-1368 [Conf]
  74. Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen
    Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1620-1621 [Conf]
  75. Tian-Li Yu, David E. Goldberg, Kumara Sastry
    Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1554-1565 [Conf]
  76. Tian-Li Yu, Kumara Sastry, David E. Goldberg
    Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1217-1224 [Conf]
  77. Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg
    A Niched Pareto Genetic Algorithm for Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:82-87 [Conf]
  78. Hillol Kargupta, David E. Goldberg
    Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:792-797 [Conf]
  79. 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]
  80. David E. Goldberg
    Genetic Algorithms and Rules Learning in Dynamic System Control. [Citation Graph (0, 0)][DBLP]
    ICGA, 1985, pp:8-15 [Conf]
  81. David E. Goldberg
    Sizing Populations for Serial and Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:70-79 [Conf]
  82. David E. Goldberg
    Zen and the Art of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:80-85 [Conf]
  83. David E. Goldberg, Kalyanmoy Deb, Bradley Korb
    Don't Worry, Be Messy. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:24-30 [Conf]
  84. David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik
    RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:56-64 [Conf]
  85. Erick Cantú-Paz, David E. Goldberg
    Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:113-120 [Conf]
  86. Kalyanmoy Deb, David E. Goldberg
    An Investigation of Niche and Species Formation in Genetic Function Optimization. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:42-50 [Conf]
  87. Clayton L. Bridges, David E. Goldberg
    An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:9-13 [Conf]
  88. David E. Goldberg, Robert Lingle Jr.
    AllelesLociand the Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP]
    ICGA, 1985, pp:154-159 [Conf]
  89. David E. Goldberg, Jon Richardson
    Genetic Algorithms with Sharing for Multimodalfunction Optimization. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:41-49 [Conf]
  90. David E. Goldberg, Philip Segrest
    Finite Markov Chain Analysis of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:1-8 [Conf]
  91. David E. Goldberg, Robert E. Smith
    Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:59-68 [Conf]
  92. Andrew Horner, David E. Goldberg
    Genetic Algorithms and Computer-Assisted Music Composition. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:437-441 [Conf]
  93. Yuji Sakamoto, David E. Goldberg
    Takeover Time in a Noisy Environment. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:160-165 [Conf]
  94. Dirk Thierens, David E. Goldberg
    Mixing in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:38-47 [Conf]
  95. Stewart W. Wilson, David E. Goldberg
    A Critical Review of Classifier Systems. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:244-255 [Conf]
  96. David E. Goldberg
    Dynamic System Control Using Rule Learning and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:588-592 [Conf]
  97. Arnaud Quirin, Jerzy J. Korczak, Martin V. Butz, David E. Goldberg
    Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. [Citation Graph (0, 0)][DBLP]
    ISDA, 2005, pp:280-285 [Conf]
  98. John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
    What Is a Learning Classifier System? [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:3-32 [Conf]
  99. Martin Butz, David E. Goldberg, Wolfgang Stolzmann
    Probability-Enhanced Predictions in the Anticipatory Classifier System. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:37-51 [Conf]
  100. Xavier Llorà, David E. Goldberg, Ivan Traus, Ester Bernadó i Mansilla
    Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:118-142 [Conf]
  101. Chang Wook Ahn, David E. Goldberg, R. S. Ramakrishna
    Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. [Citation Graph (0, 0)][DBLP]
    PPAM, 2003, pp:544-551 [Conf]
  102. Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu
    Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1021-1031 [Conf]
  103. Martin Butz, David E. Goldberg, Wolfgang Stolzmann
    Investigating Generalization in the Anticipatory Classifier System. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:735-744 [Conf]
  104. Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg
    Knowledge Extraction and Problem Structure Identification in XCS. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1051-1060 [Conf]
  105. Ying-Ping Chen, David E. Goldberg
    Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:351-360 [Conf]
  106. David E. Goldberg
    The Theory of Virtual Alphabets. [Citation Graph (0, 0)][DBLP]
    PPSN, 1990, pp:13-22 [Conf]
  107. David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn
    Massive Multimodality, Deception, and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:37-48 [Conf]
  108. Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg
    Ordering Genetic Algorithms and Deception. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:49-58 [Conf]
  109. Jeffrey Horn, David E. Goldberg
    A Timing Analysis of Convergence to Fitness Sharing Equilibrium. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:23-33 [Conf]
  110. Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Long Path Problems. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:149-158 [Conf]
  111. Dimitri Knjazew, David E. Goldberg
    Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:631-640 [Conf]
  112. 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]
  113. Samir W. Mahfoud, David E. Goldberg
    A Genetic Algorithm for Parallel Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:303-312 [Conf]
  114. Martin Pelikan, David E. Goldberg
    Genetic Algorithms, Clustering, and the Breaking of Symmetry. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:385-394 [Conf]
  115. 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]
  116. Franz Rothlauf, David E. Goldberg
    Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:395-404 [Conf]
  117. Dirk Thierens, David E. Goldberg
    Convergence Models of Genetic Algorithm Selection Schemes. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:119-129 [Conf]
  118. Naohiro Matsumura, David E. Goldberg, Xavier Llorà
    Mining directed social network from message board. [Citation Graph (0, 0)][DBLP]
    WWW (Special interest tracks and posters), 2005, pp:1092-1093 [Conf]
  119. Robert E. Smith, David E. Goldberg
    Reinforcement learning with classifier systems: Adaptive default hierarchy formation. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1992, v:6, n:1, pp:79-102 [Journal]
  120. Kalyanmoy Deb, David E. Goldberg
    Sufficient Conditions for Deceptive and Easy Binary Functions. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1993, v:10, n:4, pp:385-408 [Journal]
  121. David E. Goldberg
    Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1992, v:5, n:1, pp:35-47 [Journal]
  122. David E. Goldberg
    Genetic and Evolutionary Algorithms Come of Age. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1994, v:37, n:3, pp:113-119 [Journal]
  123. 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]
  124. Kumara Sastry, David E. Goldberg
    Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  125. Kumara Sastry, David E. Goldberg
    Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  126. 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]
  127. Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Implicit Niching in a Learning Classifier System: Nature's Way. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1994, v:2, n:1, pp:37-66 [Journal]
  128. Clarissa Van Hoyweghen, Bart Naudts, David E. Goldberg
    Spin-Flip Symmetry and Synchronization. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2002, v:10, n:4, pp:317-344 [Journal]
  129. Martin Butz, David E. Goldberg, Kurian K. Tharakunnel
    Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:3, pp:239-277 [Journal]
  130. Erick Cantú-Paz, David E. Goldberg
    On the Scalability of Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:4, pp:429-449 [Journal]
  131. Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller
    The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:3, pp:231-253 [Journal]
  132. Xavier Llorà, David E. Goldberg
    Bounding the effect of noise in Multiobjective Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:3, pp:278-297 [Journal]
  133. Brad L. Miller, David E. Goldberg
    Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1996, v:4, n:2, pp:113-131 [Journal]
  134. Masaharu Munetomo, David E. Goldberg
    Linkage Identification by Non-monotonicity Detection for Overlapping Functions. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:4, pp:377-398 [Journal]
  135. 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]
  136. Franz Rothlauf, David E. Goldberg
    Redundant Representations in Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2003, v:11, n:4, pp:381-415 [Journal]
  137. Laura A. McLay, David E. Goldberg
    Efficient Genetic Algorithms Using Discretization Scheduling. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:3, pp:353-385 [Journal]
  138. Franz Rothlauf, David E. Goldberg, Armin Heinzl
    Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2002, v:10, n:1, pp:75-97 [Journal]
  139. J. L. Schlabach, C. C. Hayes, David E. Goldberg
    FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1999, v:7, n:1, pp:45-68 [Journal]
  140. 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]
  141. Ying-Ping Chen, David E. Goldberg
    Convergence Time for the Linkage Learning Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:3, pp:279-302 [Journal]
  142. Martin V. Butz, Kumara Sastry, David E. Goldberg
    Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2005, v:6, n:1, pp:53-77 [Journal]
  143. 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]
  144. Fernando G. Lobo, David E. Goldberg
    The parameter-less genetic algorithm in practice. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:167, n:1-4, pp:217-232 [Journal]
  145. 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]
  146. Shigeyoshi Tsutsui, David E. Goldberg
    Search space boundary extension method in real-coded genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:133, n:3-4, pp:229-247 [Journal]
  147. David E. Goldberg
    Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1990, v:5, n:, pp:407-425 [Journal]
  148. David E. Goldberg, John H. Holland
    Genetic Algorithms and Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1988, v:3, n:, pp:95-99 [Journal]
  149. Samir W. Mahfoud, David E. Goldberg
    Parallel Recombinative Simulated Annealing: A Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1995, v:21, n:1, pp:1-28 [Journal]
  150. Naohiro Matsumura, David E. Goldberg, Xavier Llorà
    Communication Gap Management for Fertile Community. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:8, pp:791-798 [Journal]
  151. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:5, pp:452-473 [Journal]
  152. Georges R. Harik, Fernando G. Lobo, David E. Goldberg
    The compact genetic algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1999, v:3, n:4, pp:287-297 [Journal]
  153. John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo
    Genetic Programming 1998: Proceedings of the Third Annual Conference. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1999, v:3, n:2, pp:159-161 [Journal]
  154. Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg
    Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1798-1805 [Conf]
  155. 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]
  156. Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla
    Modeling XCS in class imbalances: population size and parameter settings. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1838-1845 [Conf]
  157. Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla
    Modeling selection pressure in XCS for proportionate and tournament selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1846-1853 [Conf]
  158. Kumara Sastry, David E. Goldberg
    Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1380-1387 [Conf]
  159. Kumara Sastry, David E. Goldberg, Xavier Llorà
    Towards billion-bit optimization via a parallel estimation of distribution algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:577-584 [Conf]
  160. Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg
    Substructrual surrogates for learning decomposable classification problems: implementation and first results. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2875-2882 [Conf]
  161. Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
    Empirical analysis of generalization and learning in XCS with gradient descent. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1814-1821 [Conf]
  162. 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]
  163. Xavier Llorà, Kumara Sastry, David E. Goldberg
    Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:40-58 [Conf]
  164. Jaume Bacardit, David E. Goldberg, Martin V. Butz
    Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:291-307 [Conf]
  165. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
    Effect of Pure Error-Based Fitness in XCS. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:104-114 [Conf]
  166. Tian-Li Yu, Kumara Sastry, David E. Goldberg
    Online population size adjusting using noise and substructural measurements. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2491-2498 [Conf]
  167. 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]
  168. Xavier Llorà, Kumara Sastry, David E. Goldberg
    The compact classifier system: scalability analysis and first results. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:596-603 [Conf]
  169. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction in continuous multistep environments. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2032-2039 [Conf]
  170. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
    XCS with computed prediction for the learning of Boolean functions. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:588-595 [Conf]
  171. Kumara Sastry, Una-May O'Reilly, David E. Goldberg
    Population Sizing for Genetic Programming Based Upon Decision Making [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  172. Hussein A. Abbass, Kumara Sastry, David E. Goldberg
    Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  173. Kumara Sastry, Hussein A. Abbass, David E. Goldberg
    Sub-Structural Niching in Non-Stationary Environments [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  174. Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
    Sub-structural Niching in Estimation of Distribution Algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  175. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Multiobjective hBOA, Clustering, and Scalability [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  176. 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]
  177. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry
    Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2007, v:8, n:1, pp:5-37 [Journal]

  178. Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. [Citation Graph (, )][DBLP]


  179. Improving the efficiency of the extended compact genetic algorithm. [Citation Graph (, )][DBLP]


  180. Speeding online synthesis via enforced selecto-recombination. [Citation Graph (, )][DBLP]


  181. Improving small population performance under noise with viral infection + tropism. [Citation Graph (, )][DBLP]


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


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


  184. A new approach for multi-label classification based on default hierarchies and organizational learning. [Citation Graph (, )][DBLP]


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


  186. On the scalability of XCS(F). [Citation Graph (, )][DBLP]


  187. A new method for linkage learning in the ECGA. [Citation Graph (, )][DBLP]


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


  189. Binary representation in gene expression programming: towards a better scalability. [Citation Graph (, )][DBLP]


  190. The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. [Citation Graph (, )][DBLP]


  191. How XCS deals with rarities in domains with continuous attributes. [Citation Graph (, )][DBLP]


  192. Delineating Topic and Discussant Transitions in Online Collaborative Environments. [Citation Graph (, )][DBLP]


  193. Facilitation Support for On-Line Focus Group Discussions by Message Feature Map. [Citation Graph (, )][DBLP]


  194. Key Elements Extraction in Online Collaborative Environments. [Citation Graph (, )][DBLP]


  195. Binary Representation in Gene Expression Programming: Towards a Better Scalability. [Citation Graph (, )][DBLP]


  196. Scaling Genetic Algorithms Using MapReduce. [Citation Graph (, )][DBLP]


  197. Substructural Surrogates for Learning Decomposable Classification Problems. [Citation Graph (, )][DBLP]


  198. Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. [Citation Graph (, )][DBLP]


  199. Enhancing the Efficiency of the ECGA. [Citation Graph (, )][DBLP]


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


  201. A Simple Real-Coded Extended Compact Genetic Algorithm. [Citation Graph (, )][DBLP]


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


  203. Communication Gaps in Social Networks. [Citation Graph (, )][DBLP]


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


  205. Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. [Citation Graph (, )][DBLP]


  206. The Crowding Approach to Niching in Genetic Algorithms. [Citation Graph (, )][DBLP]


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


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