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 | 2013 | |
|---|---|---|
| j47 |      | Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava: Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis. Inf. Sci. 222: 805-823 (2013) |
| 2012 | ||
| j46 | | Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg: Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evolutionary Computation 20(1): 135-160 (2012) |
| j45 | | Patrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz: Resource management and scalability of the XCSF learning classifier system. Theor. Comput. Sci. 425: 126-141 (2012) |
| 2011 | ||
| j44 | | Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg: Model accuracy in the Bayesian optimization algorithm. Soft Comput. 15(7): 1351-1371 (2011) |
| 2010 | ||
| c166 | | Abhishek Verma, Xavier Llorà, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell: Scaling eCGA model building via data-intensive computing. IEEE Congress on Evolutionary Computation 2010: 1-8 |
| c165 | | Albert Orriols-Puig, Xavier Llorà, David E. Goldberg: How XCS deals with rarities in domains with continuous attributes. GECCO 2010: 1023-1030 |
| p11 | | Xavier Llorà, Abhishek Verma, Roy H. Campbell, David E. Goldberg: When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing. Parallel and Distributed Computational Intelligence 2010: 11-41 |
| 2009 | ||
| j43 | | Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan: Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evolutionary Computation 17(4): 595-626 (2009) |
| j42 | | Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi: Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evolutionary Computation 13(5): 1093-1119 (2009) |
| c164 | | Elizabeth Radetic, Martin Pelikan, David E. Goldberg: Effects of a deterministic hill climber on hBOA. GECCO 2009: 437-444 |
| c163 | | Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild: Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO 2009: 851-858 |
| c162 | | Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà: On the scalability of XCS(F). GECCO 2009: 1315-1322 |
| c161 | | Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. Carvalho: The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. GECCO 2009: 1323-1330 |
| c160 | | Thyago S. P. C. Duque, David E. Goldberg: A new method for linkage learning in the ECGA. GECCO 2009: 1819-1820 |
| c159 | | Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg: Binary representation in gene expression programming: towards a better scalability. GECCO 2009: 1911-1912 |
| c158 | | Abhishek Verma, Xavier Llorà, David E. Goldberg, Roy H. Campbell: Scaling Genetic Algorithms Using MapReduce. ISDA 2009: 13-18 |
| c157 | | Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg: Binary Representation in Gene Expression Programming: Towards a Better Scalability. ISDA 2009: 1441-1444 |
| c156 | | Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava: On the Homogenization of Data from Two Laboratories Using Genetic Programming. IWLCS 2009: 185-197 |
| c155 | | Cláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg: Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS 2009: 61-75 |
| 2008 | ||
| j41 | | Ole J. Mengshoel, David E. Goldberg: The Crowding Approach to Niching in Genetic Algorithms. Evolutionary Computation 16(3): 315-354 (2008) |
| j40 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Sporadic model building for efficiency enhancement of the hierarchical BOA. Genetic Programming and Evolvable Machines 9(1): 53-84 (2008) |
| c154 | | Xavier Llorà, B. Acs, Loretta Auvil, Boris Capitanu, Michael Welge, David E. Goldberg, Bernie Ács: Meandre: Semantic-Driven Data-Intensive Flows in the Clouds. eScience 2008: 238-245 |
| c153 | | Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg: Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422 |
| c152 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462 |
| c151 | | Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Improving the efficiency of the extended compact genetic algorithm. GECCO 2008: 467-468 |
| c150 | | Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg: Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. GECCO 2008: 985-992 |
| c149 | | Yuji Sato, David E. Goldberg, Kumara Sastry: Improving small population performance under noise with viral infection + tropism. GECCO 2008: 1143-1144 |
| c148 | | Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg: Speeding online synthesis via enforced selecto-recombination. GECCO 2008: 1635-1642 |
| c147 | | Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. Carvalho: A new approach for multi-label classification based on default hierarchies and organizational learning. GECCO (Companion) 2008: 2017-2022 |
| c146 |  | Noriko Imafuji Yasui, Shunsuke Saruwatari, Xavier Llorà, David E. Goldberg: Facilitation Support for On-Line Focus Group Discussions by Message Feature Map. ICEIS (2) 2008: 563-566 |
| c145 | | Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Enhancing the Efficiency of the ECGA. PPSN 2008: 165-174 |
| p10 | | Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu: Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation 2008: 61-86 |
| p9 | | Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild: Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation 2008: 87-107 |
| p8 | | Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg: Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation 2008: 335-358 |
| i11 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: The Incremental Bayesian Optimization Algorithm. CoRR abs/0801.3113 (2008) |
| 2007 | ||
| j39 | | David E. Goldberg, Kumara Sastry, Xavier Llorà: Toward routine billion-variable optimization using genetic algorithms. Complexity 12(3): 27-29 (2007) |
| j38 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evolutionary Computation 15(2): 133-168 (2007) |
| j37 | | 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. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007) |
| j36 | | Naohiro Matsumura, David E. Goldberg, Xavier Llorà: Communication Gap Management for Fertile Community. Soft Comput. 11(8): 791-798 (2007) |
| c144 | | Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez: A Simple Real-Coded Extended Compact Genetic Algorithm. IEEE Congress on Evolutionary Computation 2007: 342-348 |
| c143 | | Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild: Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation 2007: 1083-1090 |
| c142 | | Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu: Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation 2007: 2194-2201 |
| c141 | | Kumara Sastry, David E. Goldberg, Xavier Llorà: Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO 2007: 577-584 |
| c140 | | Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan: Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO 2007: 601-608 |
| c139 | | Kumara Sastry, David E. Goldberg: Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. GECCO 2007: 1380-1387 |
| c138 | | Kumara Sastry, Martin Pelikan, David E. Goldberg: Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395 |
| c137 | | Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg: Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO 2007: 1798-1805 |
| c136 | | Pier Luca Lanzi, Martin V. Butz, David E. Goldberg: Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821 |
| c135 | | Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla: Modeling XCS in class imbalances: population size and parameter settings. GECCO 2007: 1838-1845 |
| c134 | | Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla: Modeling selection pressure in XCS for proportionate and tournament selection. GECCO 2007: 1846-1853 |
| c133 | | Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg: Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) 2007: 2875-2882 |
| c132 | | Noriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura: Delineating Topic and Discussant Transitions in Online Collaborative Environments. ICEIS (2) 2007: 14-21 |
| c131 | | Noriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura: Key Elements Extraction in Online Collaborative Environments. ICEIS (Selected Papers) 2007: 148-159 |
| c130 | | Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg: Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools. ICWSM 2007 |
| c129 | | Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg: Evolutionary Algorithm for Large Scale Problems. ISDA 2007: 819-822 |
| c128 | | Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg: Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. IWLCS 2007: 189-205 |
| c127 | | Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla: Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254 |
| p7 | | Tian-Li Yu, Kumara Sastry, David E. Goldberg: Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms 2007: 205-223 |
| 2006 | ||
| j35 | | Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evolutionary Computation 14(3): 345-380 (2006) |
| j34 | | Scott Santarelli, Tian-Li Yu, David E. Goldberg, Edward E. Altshuler, Teresa O'Donnell, Hugh Southall, Robert Mailloux: Military antenna design using simple and competent genetic algorithms. Mathematical and Computer Modelling 43(9-10): 990-1022 (2006) |
| c126 | | Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima: Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. EvoWorkshops 2006: 740-751 |
| c125 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412 |
| c124 | | Kumara Sastry, Cláudio F. Lima, David E. Goldberg: Evaluation relaxation using substructural information and linear estimation. GECCO 2006: 419-426 |
| c123 | | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432 |
| c122 | | Paul Winward, David E. Goldberg: Fluctuating crosstalk, deterministic noise, and GA scalability. GECCO 2006: 1361-1368 |
| c121 | | Tian-Li Yu, David E. Goldberg: Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO 2006: 1385-1392 |
| c120 | | Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge: Analyzing active interactive genetic algorithms using visual analytics. GECCO 2006: 1417-1418 |
| c119 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Classifier prediction based on tile coding. GECCO 2006: 1497-1504 |
| c118 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. GECCO 2006: 1505-1512 |
| c117 | | 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. GECCO 2006: 1745-1752 |
| c116 | | 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. PPSN 2006: 232-241 |
| c115 | | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797 |
| p6 | | Martin Pelikan, David E. Goldberg: Hierarchical Bayesian Optimization Algorithm. Scalable Optimization via Probabilistic Modeling 2006: 63-90 |
| p5 | | Kumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 161-185 |
| p4 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 223-248 |
| p3 | | Martin Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling 2006: 249-273 |
| p2 | | Tian-Li Yu, Scott Santarelli, David E. Goldberg: Military Antenna Design Using a Simple Genetic Algorithm and hBOA. Scalable Optimization via Probabilistic Modeling 2006: 275-289 |
| 2005 | ||
| j33 | | Ying-Ping Chen, David E. Goldberg: Convergence Time for the Linkage Learning Genetic Algorithm. Evolutionary Computation 13(3): 279-302 (2005) |
| j32 | | Laura A. McLay, David E. Goldberg: Efficient Genetic Algorithms Using Discretization Scheduling. Evolutionary Computation 13(3): 353-385 (2005) |
| j31 | | Martin V. Butz, Kumara Sastry, David E. Goldberg: Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genetic Programming and Evolvable Machines 6(1): 53-77 (2005) |
| j30 | | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evolutionary Computation 9(5): 452-473 (2005) |
| c114 | | David E. Goldberg: Little Models, Big Results. Australian Conference on Artificial Intelligence 2005: 4 |
| c113 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction for the learning of Boolean functions. Congress on Evolutionary Computation 2005: 588-595 |
| c112 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation 2005: 596-603 |
| c111 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction in continuous multistep environments. Congress on Evolutionary Computation 2005: 2032-2039 |
| c110 | | Kumara Sastry, David E. Goldberg, Martin Pelikan: Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224 |
| c109 | | Tian-Li Yu, Kumara Sastry, David E. Goldberg: Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498 |
| c108 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops 2005: 88-89 |
| c107 | | Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Extracted global structure makes local building block processing effective in XCS. GECCO 2005: 655-662 |
| c106 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670 |
| c105 | | Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural niching in estimation of distribution algorithms. GECCO 2005: 671-678 |
| c104 | | Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo: Combining competent crossover and mutation operators: a probabilistic model building approach. GECCO 2005: 735-742 |
| c103 | | Tian-Li Yu, Kumara Sastry, David E. Goldberg: Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224 |
| c102 | | Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi: Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. GECCO 2005: 1363-1370 |
| c101 | | Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg: Quality-time analysis of multi-objective evolutionary algorithms. GECCO 2005: 1455-1462 |
| c100 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Extending XCSF beyond linear approximation. GECCO 2005: 1827-1834 |
| c99 | | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction in multistep environments. GECCO 2005: 1859-1866 |
| c98 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: motivation, analysis, and first results. GECCO 2005: 1993-1994 |
| c97 | | Arnaud Quirin, Jerzy J. Korczak, Martin V. Butz, David E. Goldberg: Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA 2005: 280-285 |
| c96 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS 2005: 40-58 |
| c95 | | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114 |
| c94 | | Jaume Bacardit, David E. Goldberg, Martin V. Butz: Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS 2005: 291-307 |
| c93 | | Naohiro Matsumura, David E. Goldberg, Xavier Llorà: Communication Gaps in Social Networks. WSTST 2005: 543-552 |
| c92 | | Naohiro Matsumura, David E. Goldberg, Xavier Llorà: Mining directed social network from message board. WWW (Special interest tracks and posters) 2005: 1092-1093 |
| i10 | | Kumara Sastry, Una-May O'Reilly, David E. Goldberg: Population Sizing for Genetic Programming Based Upon Decision Making. CoRR abs/cs/0502020 (2005) |
| i9 | | Hussein A. Abbass, Kumara Sastry, David E. Goldberg: Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments. CoRR abs/cs/0502021 (2005) |
| i8 | | Kumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-Structural Niching in Non-Stationary Environments. CoRR abs/cs/0502022 (2005) |
| i7 | | Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural Niching in Estimation of Distribution Algorithms. CoRR abs/cs/0502023 (2005) |
| i6 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, Clustering, and Scalability. CoRR abs/cs/0502034 (2005) |
| i5 | | Kumara Sastry, Martin Pelikan, David E. Goldberg: Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms. CoRR abs/cs/0502057 (2005) |
| 2004 | ||
| j29 | | Fernando G. Lobo, David E. Goldberg: The parameter-less genetic algorithm in practice. Inf. Sci. 167(1-4): 217-232 (2004) |
| c91 | | Kumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence 2004: 873-885 |
| c90 | | Gerulf K. M. Pedersen, David E. Goldberg: Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. GECCO (2) 2004: 11-23 |
| c89 | | Kumara Sastry, David E. Goldberg: Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) 2004: 114-125 |
| c88 | | Kumara Sastry, David E. Goldberg: Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) 2004: 126-137 |
| c87 | | Tian-Li Yu, David E. Goldberg: Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. GECCO (2) 2004: 355-366 |
| c86 | | Tian-Li Yu, David E. Goldberg: Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. GECCO (2) 2004: 367-378 |
| c85 | | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Bounding Learning Time in XCS. GECCO (2) 2004: 739-750 |
| c84 | | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762 |
| c83 | | Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg: Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World. GECCO (1) 2004: 840-851 |
| c82 | | Ying-Ping Chen, David E. Goldberg: Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. GECCO (1) 2004: 971-982 |
| c81 | | 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. GECCO (2) 2004: 1314-1315 |
| c80 | | Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg: Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437 |
| c79 | | 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. PPSN 2004: 1021-1031 |
| c78 | | Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060 |
| i4 | | Kumara Sastry, David E. Goldberg, Martin Pelikan: Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms. CoRR cs.NE/0405062 (2004) |
| i3 | | Kumara Sastry, David E. Goldberg: Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. CoRR cs.NE/0405063 (2004) |
| i2 | | Kumara Sastry, David E. Goldberg: Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods. CoRR cs.NE/0405064 (2004) |
| i1 | | Kumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation. CoRR cs.NE/0405065 (2004) |
| 2003 | ||
| j28 | | Martin Pelikan, David E. Goldberg: A hierarchy machine: Learning to optimize from nature and humans. Complexity 8(5): 36-45 (2003) |
| j27 | | Martin Butz, David E. Goldberg, Kurian K. Tharakunnel: Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evolutionary Computation 11(3): 239-277 (2003) |
| j26 | | Xavier Llorà, David E. Goldberg: Bounding the effect of noise in Multiobjective Learning Classifier Systems. Evolutionary Computation 11(3): 278-297 (2003) |
| j25 | | Franz Rothlauf, David E. Goldberg: Redundant Representations in Evolutionary Computation. Evolutionary Computation 11(4): 381-415 (2003) |
| j24 | | |
| j23 | | Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui: Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Inf. Sci. 156(3-4): 147-171 (2003) |
| p1 | | David E. Goldberg, Kumara Sastry, Yukio Ohsawa: Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. Chance Discovery 2003: 276-302 |
| c77 | | Martin Butz, David E. Goldberg: Generalized State Values in an Anticipatory Learning Classifier System. ABiALS 2003: 282-301 |
| c76 | | Erick Cantú-Paz, David E. Goldberg: Are Multiple Runs of Genetic Algorithms Better than One? GECCO 2003: 801-812 |
| c75 | | Ying-Ping Chen, David E. Goldberg: An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. GECCO 2003: 825-836 |
| c74 | | Ying-Ping Chen, David E. Goldberg: Tightness Time for the Linkage Learning Genetic Algorithm. GECCO 2003: 837-849 |
| c73 | | Felipe P. Espinoza, Barbara S. Minsker, David E. Goldberg: Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA). GECCO 2003: 922-933 |
| c72 | | Xavier Llorà, David E. Goldberg: Wise Breeding GA via Machine Learning Techniques for Function Optimization. GECCO 2003: 1172-1183 |
| c71 | | Martin Pelikan, David E. Goldberg: Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO 2003: 1271-1282 |
| c70 | | Kumara Sastry, David E. Goldberg: Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO 2003: 1332-1344 |
| c69 | | Tian-Li Yu, David E. Goldberg, Kumara Sastry: Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO 2003: 1554-1565 |
| c68 | | 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. GECCO 2003: 1620-1621 |
| c67 | | Martin Butz, David E. Goldberg: Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO 2003: 1844-1856 |
| c66 | | Martin Butz, Kumara Sastry, David E. Goldberg: Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869 |
| c65 | | Kurian K. Tharakunnel, Martin Butz, David E. Goldberg: Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO 2003: 1906-1917 |
| c64 | | Chang Wook Ahn, David E. Goldberg, Rudrapatna S. Ramakrishna: Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. PPAM 2003: 544-551 |
| 2002 | ||
| j22 | | Martin Pelikan, David E. Goldberg, Fernando G. Lobo: A Survey of Optimization by Building and Using Probabilistic Models. Comp. Opt. and Appl. 21(1): 5-20 (2002) |
| j21 | | Franz Rothlauf, David E. Goldberg, Armin Heinzl: Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms. Evolutionary Computation 10(1): 75-97 (2002) |
| j20 | | Clarissa Van Hoyweghen, Bart Naudts, David E. Goldberg: Spin-Flip Symmetry and Synchronization. Evolutionary Computation 10(4): 317-344 (2002) |
| j19 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reasoning 31(3): 221-258 (2002) |
| c63 | | Laura A. Albert, David E. Goldberg: Efficient Discretization Scheduling In Multiple Dimensions. GECCO 2002: 271-278 |
| c62 | | Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry: Fitness Inheritance In Multi-objective Optimization. GECCO 2002: 319-326 |
| c61 | | Abhishek Singh, David E. Goldberg, Ying-Ping Chen: Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. GECCO Late Breaking Papers 2002: 419-426 |
| c60 | | Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui: Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO 2002: 512-519 |
| c59 | | Kumara Sastry, David E. Goldberg: Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO 2002: 528-535 |
| c58 | | Kumara Sastry, David E. Goldberg: Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO 2002: 536-543 |
| c57 | | Clarissa Van Hoyweghen, David E. Goldberg, Bart Naudts: From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. GECCO 2002: 626-633 |
| c56 | | Nazan Khan, David E. Goldberg, Martin Pelikan: Multiple-objective Bayesian Optimization Algorithm. GECCO 2002: 684 |
| c55 | | Abhishek Singh, David E. Goldberg, Ying-Ping Chen: Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. GECCO 2002: 699 |
| c54 | | Alexander Kosorukoff, David E. Goldberg: Evolutionary Computation As A Form Of Organization. GECCO 2002: 965-972 |
| c53 | | Xavier Llorà, David E. Goldberg, Ivan Traus, Ester Bernadó i Mansilla: Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. IWLCS 2002: 118-142 |
| c52 | | Ying-Ping Chen, David E. Goldberg: Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. PPSN 2002: 351-360 |
| 2001 | ||
| j18 | | Shigeyoshi Tsutsui, David E. Goldberg: Search space boundary extension method in real-coded genetic algorithms. Inf. Sci. 133(3-4): 229-247 (2001) |
| 2000 | ||
| j17 | | Martin Pelikan, David E. Goldberg, Erick Cantú-Paz: Linkage Problem, Distribution Estimation, and Bayesian Networks. Evolutionary Computation 8(3): 311-340 (2000) |
| c51 | | Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO 2000: 42-49 |
| c50 | | Fernando G. Lobo, David E. Goldberg, Martin Pelikan: Time Complexity of genetic algorithms on exponentially scaled problems. GECCO 2000: 151-158 |
| c49 | | Dimitri Knjazew, David E. Goldberg: OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. GECCO 2000: 181-188 |
| c48 | | Martin Pelikan, David E. Goldberg: Hierarchical Problem Solving and the Bayesian Optimization Algorithm. GECCO 2000: 267-274 |
| c47 | | Martin Pelikan, David E. Goldberg, Erick Cantú-Paz: Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO 2000: 275-282 |
| c46 | | Franz Rothlauf, David E. Goldberg, Armin Heinzl: Bad Codings and the Utility of Well-Designed Genetic Algorithms. GECCO 2000: 355-364 |
| c45 | | Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS 2000: 37-51 |
| c44 | | Martin Pelikan, David E. Goldberg: Genetic Algorithms, Clustering, and the Breaking of Symmetry. PPSN 2000: 385-394 |
| c43 | | 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. PPSN 2000: 395-404 |
| c42 | | Dimitri Knjazew, David E. Goldberg: Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. PPSN 2000: 631-640 |
| c41 | | Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Investigating Generalization in the Anticipatory Classifier System. PPSN 2000: 735-744 |
| e1 | | L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer (Eds.): Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000. Morgan Kaufmann 2000, isbn 1-55860-708-0 |
| 1999 | ||
| j16 | | J. L. Schlabach, C. C. Hayes, David E. Goldberg: FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action. Evolutionary Computation 7(1): 45-68 (1999) |
| j15 | | Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller: The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. Evolutionary Computation 7(3): 231-253 (1999) |
| j14 | | Masaharu Munetomo, David E. Goldberg: Linkage Identification by Non-monotonicity Detection for Overlapping Functions. Evolutionary Computation 7(4): 377-398 (1999) |
| j13 | | Erick Cantú-Paz, David E. Goldberg: On the Scalability of Parallel Genetic Algorithms. Evolutionary Computation 7(4): 429-449 (1999) |
| j12 | | 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. IEEE Trans. Evolutionary Computation 3(2): 159-161 (1999) |
| j11 | | Georges R. Harik, Fernando G. Lobo, David E. Goldberg: The compact genetic algorithm. IEEE Trans. Evolutionary Computation 3(4): 287-297 (1999) |
| c40 | | David E. Goldberg: Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. GECCO 1999: 212-219 |
| c39 | | |
| c38 | | 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? Learning Classifier Systems 1999: 3-32 |
| 1998 | ||
| c37 | | 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. EuroGP 1998: 16-36 |
| c36 | | |
| c35 | | Jeffrey Horn, David E. Goldberg: A Timing Analysis of Convergence to Fitness Sharing Equilibrium. PPSN 1998: 23-33 |
| 1997 | ||
| c34 | | Erick Cantú-Paz, David E. Goldberg: Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA 1997: 113-120 |
| c33 | | |
| 1996 | ||
| j10 | | Brad L. Miller, David E. Goldberg: Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise. Evolutionary Computation 4(2): 113-131 (1996) |
| c32 | | |
| c31 | | Hillol Kargupta, David E. Goldberg: SEARCH, Blackbox Optimization, And Sample Complexity. FOGA 1996: 291-324 |
| c30 | | Hillol Kargupta, David E. Goldberg: Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. International Conference on Evolutionary Computation 1996: 792-797 |
| 1995 | ||
| j9 | | Samir W. Mahfoud, David E. Goldberg: Parallel Recombinative Simulated Annealing: A Genetic Algorithm. Parallel Computing 21(1): 1-28 (1995) |
| 1994 | ||
| j8 | | David E. Goldberg: Genetic and Evolutionary Algorithms Come of Age. Commun. ACM 37(3): 113-119 (1994) |
| j7 | | Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb: Implicit Niching in a Learning Classifier System: Nature's Way. Evolutionary Computation 2(1): 37-66 (1994) |
| c29 | | Jeffrey Horn, David E. Goldberg: Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. FOGA 1994: 243-269 |
| c28 | | Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg: A Niched Pareto Genetic Algorithm for Multiobjective Optimization. International Conference on Evolutionary Computation 1994: 82-87 |
| c27 | | Dirk Thierens, David E. Goldberg: Elitist Recombination: An Integrated Selection Recombination GA. International Conference on Evolutionary Computation 1994: 508-512 |
| c26 | | Dirk Thierens, David E. Goldberg: Convergence Models of Genetic Algorithm Selection Schemes. PPSN 1994: 119-129 |
| c25 | | |
| 1993 | ||
| j6 | | Kalyanmoy Deb, David E. Goldberg: Sufficient Conditions for Deceptive and Easy Binary Functions. Ann. Math. Artif. Intell. 10(4): 385-408 (1993) |
| c24 | | |
| c23 | | David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik: RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. ICGA 1993: 56-64 |
| 1992 | ||
| j5 | | Robert E. Smith, David E. Goldberg: Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Applied Artificial Intelligence 6(1): 79-102 (1992) |
| j4 | | David E. Goldberg: Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients. Ann. Math. Artif. Intell. 5(1): 35-47 (1992) |
| c22 | | |
| c21 | | David E. Goldberg, Kalyanmoy Deb, James H. Clark: Accounting for Noise in the Sizing of Populations. FOGA 1992: 127-140 |
| c20 | | David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn: Massive Multimodality, Deception, and Genetic Algorithms. PPSN 1992: 37-48 |
| c19 | | Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg: Ordering Genetic Algorithms and Deception. PPSN 1992: 49-58 |
| c18 | | Samir W. Mahfoud, David E. Goldberg: A Genetic Algorithm for Parallel Simulated Annealing. PPSN 1992: 303-312 |
| 1991 | ||
| c17 | | |
| c16 | | Andrew Horner, David E. Goldberg: Genetic Algorithms and Computer-Assisted Music Composition. ICGA 1991: 437-441 |
| 1990 | ||
| j3 | | David E. Goldberg: Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding. Machine Learning 5: 407-425 (1990) |
| c15 | | |
| c14 | | David E. Goldberg, Kalyanmoy Deb: A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. FOGA 1990: 69-93 |
| c13 | | Robert E. Smith, David E. Goldberg: Variable Default Hierarchy Separation in a Classifier System. FOGA 1990: 148-167 |
| c12 | | |
| 1989 | ||
| b1 | | David E. Goldberg: Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley 1989, isbn 0-201-15767-5 |
| j2 | | Lashon B. Booker, David E. Goldberg, John H. Holland: Classifier Systems and Genetic Algorithms. Artif. Intell. 40(1-3): 235-282 (1989) |
| c11 | | Kalyanmoy Deb, David E. Goldberg: An Investigation of Niche and Species Formation in Genetic Function Optimization. ICGA 1989: 42-50 |
| c10 | | |
| c9 | | |
| c8 | | |
| 1988 | ||
| j1 | | David E. Goldberg, John H. Holland: Genetic Algorithms and Machine Learning. Machine Learning 3: 95-99 (1988) |
| 1987 | ||
| c7 | | David E. Goldberg, Philip Segrest: Finite Markov Chain Analysis of Genetic Algorithms. ICGA 1987: 1-8 |
| c6 | | Clayton L. Bridges, David E. Goldberg: An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm. ICGA 1987: 9-13 |
| c5 | | David E. Goldberg, Jon Richardson: Genetic Algorithms with Sharing for Multimodalfunction Optimization. ICGA 1987: 41-49 |
| c4 | | David E. Goldberg, Robert E. Smith: Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. ICGA 1987: 59-68 |
| 1985 | ||
| c3 | | |
| c2 | | David E. Goldberg, Robert Lingle Jr.: AllelesLociand the Traveling Salesman Problem. ICGA 1985: 154-159 |
| c1 | | David E. Goldberg: Dynamic System Control Using Rule Learning and Genetic Algorithms. IJCAI 1985: 588-592 |
Colors in the list of coauthors
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