dblp.uni-trier.dewww.uni-trier.de

David E. Goldberg Vis

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo
Home Page

*2009
218EEPatrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà: On the scalability of XCS(F). GECCO 2009: 1315-1322
217EERosane 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
216EEThyago S. P. C. Duque, David E. Goldberg: A new method for linkage learning in the ECGA. GECCO 2009: 1819-1820
215EEJose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg: Binary representation in gene expression programming: towards a better scalability. GECCO 2009: 1911-1912
214EEElizabeth Radetic, Martin Pelikan, David E. Goldberg: Effects of a deterministic hill climber on hBOA. GECCO 2009: 437-444
213EEMartin 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
212EECláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg: Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS 2009: 61-75
2008
211EEYuji Sato, David E. Goldberg, Kumara Sastry: Improving small population performance under noise with viral infection + tropism. GECCO 2008: 1143-1144
210EEShunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg: Speeding online synthesis via enforced selecto-recombination. GECCO 2008: 1635-1642
209EEMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg: Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422
208EEMartin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462
207EEThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Improving the efficiency of the extended compact genetic algorithm. GECCO 2008: 467-468
206EEXavier Llorà, Noriko Imafuji Yasui, David E. Goldberg: Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. GECCO 2008: 985-992
205EERosane 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
204 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
203EEThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Enhancing the Efficiency of the ECGA. PPSN 2008: 165-174
202EEPier 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
201EEMinqiang 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
200EECláudio 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
199EEMartin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: The Incremental Bayesian Optimization Algorithm CoRR abs/0801.3113: (2008)
198EEOle J. Mengshoel, David E. Goldberg: The Crowding Approach to Niching in Genetic Algorithms. Evolutionary Computation 16(3): 315-354 (2008)
197EEMartin 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)
2007
196EEKumara 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
195EEKumara Sastry, Martin Pelikan, David E. Goldberg: Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395
194EEXavier 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
193EEPier Luca Lanzi, Martin V. Butz, David E. Goldberg: Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821
192EEAlbert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla: Modeling XCS in class imbalances: population size and parameter settings. GECCO 2007: 1838-1845
191EEAlbert 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
190EEKumara Sastry, David E. Goldberg, Xavier Llorà: Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO 2007: 577-584
189EETian-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
188EEAlbert 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
187 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
186EENoriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura: Key Elements Extraction in Online Collaborative Environments. ICEIS (Selected Papers) 2007: 148-159
185EECláudio 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
184EELuca 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
183EEXavier 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
182EEAlbert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla: Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254
181EETian-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
180EEDavid E. Goldberg, Kumara Sastry, Xavier Llorà: Toward routine billion-variable optimization using genetic algorithms. Complexity 12(3): 27-29 (2007)
179EEPier 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)
178EEMartin 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)
177EENaohiro Matsumura, David E. Goldberg, Xavier Llorà: Communication Gap Management for Fertile Community. Soft Comput. 11(8): 791-798 (2007)
2006
176EEKumara 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
175EEPaul Winward, David E. Goldberg: Fluctuating crosstalk, deterministic noise, and GA scalability. GECCO 2006: 1361-1368
174EETian-Li Yu, David E. Goldberg: Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO 2006: 1385-1392
173EEXavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge: Analyzing active interactive genetic algorithms using visual analytics. GECCO 2006: 1417-1418
172EEPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Classifier prediction based on tile coding. GECCO 2006: 1497-1504
171EEPier 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
170EEKumara 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
169EEMartin Pelikan, Kumara Sastry, David E. Goldberg: Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412
168EEKumara Sastry, Cláudio F. Lima, David E. Goldberg: Evaluation relaxation using substructural information and linear estimation. GECCO 2006: 419-426
167EEMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432
166EECláudio 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
165EEMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797
164EEKumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 161-185
163EEMartin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 223-248
162EEMartin 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
161EETian-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
160EEMartin Pelikan, David E. Goldberg: Hierarchical Bayesian Optimization Algorithm. Scalable Optimization via Probabilistic Modeling 2006: 63-90
159EEMartin 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)
2005
158EEDavid E. Goldberg: Little Models, Big Results. Australian Conference on Artificial Intelligence 2005: 4
157EEPier 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
156EEKumara Sastry, David E. Goldberg, Martin Pelikan: Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224
155EETian-Li Yu, Kumara Sastry, David E. Goldberg: Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498
154EEPier 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
153EEXavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation 2005: 596-603
152EETian-Li Yu, Kumara Sastry, David E. Goldberg: Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224
151EEXavier 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
150EEJian-Hung Chen, Shinn-Ying Ho, David E. Goldberg: Quality-time analysis of multi-objective evolutionary algorithms. GECCO 2005: 1455-1462
149EEPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Extending XCSF beyond linear approximation. GECCO 2005: 1827-1834
148EEPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction in multistep environments. GECCO 2005: 1859-1866
147EEXavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: motivation, analysis, and first results. GECCO 2005: 1993-1994
146EEMartin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Extracted global structure makes local building block processing effective in XCS. GECCO 2005: 655-662
145EEMartin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670
144EEKumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural niching in estimation of distribution algorithms. GECCO 2005: 671-678
143EECláudio 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
142EEXavier Llorà, Kumara Sastry, David E. Goldberg: Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops 2005: 88-89
141EEArnaud 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
140EEMartin V. Butz, David E. Goldberg, Pier Luca Lanzi: Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114
139EEJaume Bacardit, David E. Goldberg, Martin V. Butz: Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS 2005: 291-307
138EEXavier Llorà, Kumara Sastry, David E. Goldberg: Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS 2005: 40-58
137EENaohiro Matsumura, David E. Goldberg, Xavier Llorà: Communication Gaps in Social Networks. WSTST 2005: 543-552
136EENaohiro Matsumura, David E. Goldberg, Xavier Llorà: Mining directed social network from message board. WWW (Special interest tracks and posters) 2005: 1092-1093
135EEKumara Sastry, Una-May O'Reilly, David E. Goldberg: Population Sizing for Genetic Programming Based Upon Decision Making CoRR abs/cs/0502020: (2005)
134EEHussein 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)
133EEKumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-Structural Niching in Non-Stationary Environments CoRR abs/cs/0502022: (2005)
132EEKumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural Niching in Estimation of Distribution Algorithms CoRR abs/cs/0502023: (2005)
131EEMartin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, Clustering, and Scalability CoRR abs/cs/0502034: (2005)
130EEKumara Sastry, Martin Pelikan, David E. Goldberg: Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR abs/cs/0502057: (2005)
129EEYing-Ping Chen, David E. Goldberg: Convergence Time for the Linkage Learning Genetic Algorithm. Evolutionary Computation 13(3): 279-302 (2005)
128EELaura A. McLay, David E. Goldberg: Efficient Genetic Algorithms Using Discretization Scheduling. Evolutionary Computation 13(3): 353-385 (2005)
127EEMartin 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)
126EEMartin 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)
2004
125EEKumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence 2004: 873-885
124EEKei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg: Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437
123EEChang 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
122EEYing-Ping Chen, David E. Goldberg: Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. GECCO (1) 2004: 971-982
121EEGerulf K. M. Pedersen, David E. Goldberg: Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. GECCO (2) 2004: 11-23
120EEKumara Sastry, David E. Goldberg: Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) 2004: 114-125
119EEKumara Sastry, David E. Goldberg: Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) 2004: 126-137
118EEXavier 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
117EETian-Li Yu, David E. Goldberg: Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. GECCO (2) 2004: 355-366
116EETian-Li Yu, David E. Goldberg: Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. GECCO (2) 2004: 367-378
115EEMartin V. Butz, David E. Goldberg, Pier Luca Lanzi: Bounding Learning Time in XCS. GECCO (2) 2004: 739-750
114EEMartin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762
113EEJaume 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
112EEMartin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060
111EEKumara Sastry, David E. Goldberg, Martin Pelikan: Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR cs.NE/0405062: (2004)
110EEKumara Sastry, David E. Goldberg: Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head CoRR cs.NE/0405063: (2004)
109EEKumara Sastry, David E. Goldberg: Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods CoRR cs.NE/0405064: (2004)
108EEKumara Sastry, Martin Pelikan, David E. Goldberg: Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR cs.NE/0405065: (2004)
107EEFernando G. Lobo, David E. Goldberg: The parameter-less genetic algorithm in practice. Inf. Sci. 167(1-4): 217-232 (2004)
2003
106EEMartin Butz, David E. Goldberg: Generalized State Values in an Anticipatory Learning Classifier System. Anticipatory Behavior in Adaptive Learning Systems 2003: 282-301
105EEXavier Llorà, David E. Goldberg: Wise Breeding GA via Machine Learning Techniques for Function Optimization. GECCO 2003: 1172-1183
104EEMartin Pelikan, David E. Goldberg: Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO 2003: 1271-1282
103EEKumara Sastry, David E. Goldberg: Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO 2003: 1332-1344
102EETian-Li Yu, David E. Goldberg, Kumara Sastry: Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO 2003: 1554-1565
101EETian-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
100EEMartin Butz, David E. Goldberg: Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO 2003: 1844-1856
99EEMartin Butz, Kumara Sastry, David E. Goldberg: Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869
98EEKurian K. Tharakunnel, Martin Butz, David E. Goldberg: Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO 2003: 1906-1917
97EEErick Cantú-Paz, David E. Goldberg: Are Multiple Runs of Genetic Algorithms Better than One? GECCO 2003: 801-812
96EEYing-Ping Chen, David E. Goldberg: An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. GECCO 2003: 825-836
95EEYing-Ping Chen, David E. Goldberg: Tightness Time for the Linkage Learning Genetic Algorithm. GECCO 2003: 837-849
94EEFelipe 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
93EEChang Wook Ahn, David E. Goldberg, Rudrapatna S. Ramakrishna: Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. PPAM 2003: 544-551
92 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
91EEMartin Pelikan, David E. Goldberg: A hierarchy machine: Learning to optimize from nature and humans. Complexity 8(5): 36-45 (2003)
90 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)
89 Xavier Llorà, David E. Goldberg: Bounding the effect of noise in Multiobjective Learning Classifier Systems. Evolutionary Computation 11(3): 278-297 (2003)
88 Franz Rothlauf, David E. Goldberg: Redundant Representations in Evolutionary Computation. Evolutionary Computation 11(4): 381-415 (2003)
87EEMartin 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)
2002
86 Laura A. Albert, David E. Goldberg: Efficient Discretization Scheduling In Multiple Dimensions. GECCO 2002: 271-278
85 Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry: Fitness Inheritance In Multi-objective Optimization. GECCO 2002: 319-326
84 Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui: Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO 2002: 512-519
83 Kumara Sastry, David E. Goldberg: Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO 2002: 528-535
82 Kumara Sastry, David E. Goldberg: Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO 2002: 536-543
81 Clarissa Van Hoyweghen, David E. Goldberg, Bart Naudts: From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. GECCO 2002: 626-633
80 Nazan Khan, David E. Goldberg, Martin Pelikan: Multiple-objective Bayesian Optimization Algorithm. GECCO 2002: 684
79 Abhishek Singh, David E. Goldberg, Ying-Ping Chen: Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. GECCO 2002: 699
78 Alexander Kosorukoff, David E. Goldberg: Evolutionary Computation As A Form Of Organization. GECCO 2002: 965-972
77 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
76EEXavier 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
75EEYing-Ping Chen, David E. Goldberg: Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. PPSN 2002: 351-360
74 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)
73 Clarissa Van Hoyweghen, Bart Naudts, David E. Goldberg: Spin-Flip Symmetry and Synchronization. Evolutionary Computation 10(4): 317-344 (2002)
72EEMartin Pelikan, Kumara Sastry, David E. Goldberg: Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reasoning 31(3): 221-258 (2002)
2001
71EEShigeyoshi Tsutsui, David E. Goldberg: Search space boundary extension method in real-coded genetic algorithms. Inf. Sci. 133(3-4): 229-247 (2001)
2000
70 L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 Morgan Kaufmann 2000
69 Fernando G. Lobo, David E. Goldberg, Martin Pelikan: Time Complexity of genetic algorithms on exponentially scaled problems. GECCO 2000: 151-158
68 Dimitri Knjazew, David E. Goldberg: OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. GECCO 2000: 181-188
67 Martin Pelikan, David E. Goldberg: Hierarchical Problem Solving and the Bayesian Optimization Algorithm. GECCO 2000: 267-274
66 Martin Pelikan, David E. Goldberg, Erick Cantú-Paz: Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO 2000: 275-282
65 Franz Rothlauf, David E. Goldberg, Armin Heinzl: Bad Codings and the Utility of Well-Designed Genetic Algorithms. GECCO 2000: 355-364
64 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
63EEMartin Butz, David E. Goldberg, Wolfgang Stolzmann: Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS 2000: 37-51
62EEMartin Pelikan, David E. Goldberg: Genetic Algorithms, Clustering, and the Breaking of Symmetry. PPSN 2000: 385-394
61EEFranz 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
60EEDimitri Knjazew, David E. Goldberg: Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. PPSN 2000: 631-640
59EEMartin Butz, David E. Goldberg, Wolfgang Stolzmann: Investigating Generalization in the Anticipatory Classifier System. PPSN 2000: 735-744
58 Martin Pelikan, David E. Goldberg, Erick Cantú-Paz: Linkage Problem, Distribution Estimation, and Bayesian Networks. Evolutionary Computation 8(3): 311-340 (2000)
1999
57 David E. Goldberg: Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. GECCO 1999: 212-219
56 David E. Goldberg, Siegfried Vössner: Optimizing Global-Local Search Hybrids. GECCO 1999: 220-228
55EEJohn 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
54 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)
53 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)
52 Masaharu Munetomo, David E. Goldberg: Linkage Identification by Non-monotonicity Detection for Overlapping Functions. Evolutionary Computation 7(4): 377-398 (1999)
51 Erick Cantú-Paz, David E. Goldberg: On the Scalability of Parallel Genetic Algorithms. Evolutionary Computation 7(4): 429-449 (1999)
50 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)
49 Georges R. Harik, Fernando G. Lobo, David E. Goldberg: The compact genetic algorithm. IEEE Trans. Evolutionary Computation 3(4): 287-297 (1999)
1998
48EEDavid 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
47 Jeffrey Horn, David E. Goldberg: Toward a Control Map for Niching. FOGA 1998: 287-310
46EEJeffrey Horn, David E. Goldberg: A Timing Analysis of Convergence to Fitness Sharing Equilibrium. PPSN 1998: 23-33
1997
45 Erick Cantú-Paz, David E. Goldberg: Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA 1997: 113-120
44 Yuji Sakamoto, David E. Goldberg: Takeover Time in a Noisy Environment. ICGA 1997: 160-165
1996
43 Georges R. Harik, David E. Goldberg: Learning Linkage. FOGA 1996: 247-262
42 Hillol Kargupta, David E. Goldberg: SEARCH, Blackbox Optimization, And Sample Complexity. FOGA 1996: 291-324
41 Hillol Kargupta, David E. Goldberg: Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. International Conference on Evolutionary Computation 1996: 792-797
40 Brad L. Miller, David E. Goldberg: Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise. Evolutionary Computation 4(2): 113-131 (1996)
1995
39 Samir W. Mahfoud, David E. Goldberg: Parallel Recombinative Simulated Annealing: A Genetic Algorithm. Parallel Computing 21(1): 1-28 (1995)
1994
38 Jeffrey Horn, David E. Goldberg: Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. FOGA 1994: 243-269
37 Dirk Thierens, David E. Goldberg: Elitist Recombination: An Integrated Selection Recombination GA. International Conference on Evolutionary Computation 1994: 508-512
36 Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg: A Niched Pareto Genetic Algorithm for Multiobjective Optimization. International Conference on Evolutionary Computation 1994: 82-87
35EEDirk Thierens, David E. Goldberg: Convergence Models of Genetic Algorithm Selection Schemes. PPSN 1994: 119-129
34EEJeffrey Horn, David E. Goldberg, Kalyanmoy Deb: Long Path Problems. PPSN 1994: 149-158
33 David E. Goldberg: Genetic and Evolutionary Algorithms Come of Age. Commun. ACM 37(3): 113-119 (1994)
32 Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb: Implicit Niching in a Learning Classifier System: Nature's Way. Evolutionary Computation 2(1): 37-66 (1994)
1993
31 Dirk Thierens, David E. Goldberg: Mixing in Genetic Algorithms. ICGA 1993: 38-47
30 David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik: RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. ICGA 1993: 56-64
29 Kalyanmoy Deb, David E. Goldberg: Sufficient Conditions for Deceptive and Easy Binary Functions. Ann. Math. Artif. Intell. 10(4): 385-408 (1993)
1992
28 David E. Goldberg, Kalyanmoy Deb, James H. Clark: Accounting for Noise in the Sizing of Populations. FOGA 1992: 127-140
27 Kalyanmoy Deb, David E. Goldberg: Analyzing Deception in Trap Functions. FOGA 1992: 93-108
26 Samir W. Mahfoud, David E. Goldberg: A Genetic Algorithm for Parallel Simulated Annealing. PPSN 1992: 303-312
25 David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn: Massive Multimodality, Deception, and Genetic Algorithms. PPSN 1992: 37-48
24 Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg: Ordering Genetic Algorithms and Deception. PPSN 1992: 49-58
23 David E. Goldberg: Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients. Ann. Math. Artif. Intell. 5(1): 35-47 (1992)
22 Robert E. Smith, David E. Goldberg: Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Applied Artificial Intelligence 6(1): 79-102 (1992)
1991
21 David E. Goldberg, Kalyanmoy Deb, Bradley Korb: Don't Worry, Be Messy. ICGA 1991: 24-30
20 Andrew Horner, David E. Goldberg: Genetic Algorithms and Computer-Assisted Music Composition. ICGA 1991: 437-441
1990
19 Clayton L. Bridges, David E. Goldberg: The Nonuniform Walsh-Schema Transform. FOGA 1990: 13-22
18 Robert E. Smith, David E. Goldberg: Variable Default Hierarchy Separation in a Classifier System. FOGA 1990: 148-167
17 David E. Goldberg, Kalyanmoy Deb: A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. FOGA 1990: 69-93
16EEDavid E. Goldberg: The Theory of Virtual Alphabets. PPSN 1990: 13-22
15 David E. Goldberg: Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding. Machine Learning 5: 407-425 (1990)
1989
14 David E. Goldberg: Genetic Algorithms in Search Optimization and Machine Learning Addison-Wesley 1989
13 Stewart W. Wilson, David E. Goldberg: A Critical Review of Classifier Systems. ICGA 1989: 244-255
12 Kalyanmoy Deb, David E. Goldberg: An Investigation of Niche and Species Formation in Genetic Function Optimization. ICGA 1989: 42-50
11 David E. Goldberg: Sizing Populations for Serial and Parallel Genetic Algorithms. ICGA 1989: 70-79
10 David E. Goldberg: Zen and the Art of Genetic Algorithms. ICGA 1989: 80-85
9 Lashon B. Booker, David E. Goldberg, John H. Holland: Classifier Systems and Genetic Algorithms. Artif. Intell. 40(1-3): 235-282 (1989)
1988
8 David E. Goldberg, John H. Holland: Genetic Algorithms and Machine Learning. Machine Learning 3: 95-99 (1988)
1987
7 David E. Goldberg, Philip Segrest: Finite Markov Chain Analysis of Genetic Algorithms. ICGA 1987: 1-8
6 David E. Goldberg, Jon Richardson: Genetic Algorithms with Sharing for Multimodalfunction Optimization. ICGA 1987: 41-49
5 David E. Goldberg, Robert E. Smith: Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. ICGA 1987: 59-68
4 Clayton L. Bridges, David E. Goldberg: An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm. ICGA 1987: 9-13
1985
3 David E. Goldberg, Robert Lingle Jr.: AllelesLociand the Traveling Salesman Problem. ICGA 1985: 154-159
2 David E. Goldberg: Genetic Algorithms and Rules Learning in Dynamic System Control. ICGA 1985: 8-15
1 David E. Goldberg: Dynamic System Control Using Rule Learning and Genetic Algorithms. IJCAI 1985: 588-592

Coauthor Index

1Hussein A. Abbass [125] [132] [133] [134] [144]
2Chang Wook Ahn [93] [123]
3Laura A. Albert [86]
4Francesc Alías [173]
5Jaume Bacardit [113] [139]
6Wolfgang Banzhaf [50]
7Ester Bernadó-Mansilla (Ester Bernadó i Mansilla) [76] [182] [188] [191] [192]
8Hans-Georg Beyer [70]
9Lashon B. Booker [9] [55]
10Clayton L. Bridges [4] [19]
11Martin V. Butz (Martin Butz) [59] [63] [64] [90] [98] [99] [100] [106] [112] [113] [114] [115] [126] [127] [139] [140] [141] [146] [159] [162] [165] [166] [167] [178] [193] [213] [218]
12Erick Cantú-Paz [45] [51] [53] [58] [66] [70] [97]
13André Carlos Ponce Leon Ferreira de Carvalho (André Carlos Ponce de Leon Ferreira de Carvalho, André C. P. L. F. Carvalho) [205] [217]
14Kumar Chellapilla [50]
15Jian-Hung Chen [85] [150]
16Ying-Ping Chen [75] [77] [79] [95] [96] [101] [118] [122] [124] [129]
17James H. Clark [28]
18Marco Colombetti [55]
19Kalyanmoy Deb [12] [17] [21] [24] [25] [27] [28] [29] [30] [32] [34] [50]
20Marco Dorigo [50] [55]
21Thyago S. P. C. Duque [203] [205] [207] [216] [217]
22Felipe P. Espinoza [94]
23David B. Fogel [50]
24Stephanie Forrest [55]
25Luca Fossati [184]
26Max H. Garzon [50]
27Osvaldo Gómez [184]
28Josep Maria Garrell i Guiu [113]
29Abhimanyu Gupta [151]
30Georges R. Harik [30] [43] [49] [53]
31Mark Hauschild [185] [200] [209] [213]
32C. C. Hayes [54]
33Armin Heinzl [65] [74]
34Shinn-Ying Ho [85] [150]
35John H. Holland [8] [9] [55]
36Jeffrey Horn [25] [32] [34] [36] [38] [46] [47]
37Andrew Horner [20]
38Clarissa Van Hoyweghen [73] [81]
39Hitoshi Iba [50]
40D. D. Johnson [132] [144] [170]
41Hillol Kargupta [24] [30] [41] [42]
42Nazan Khan [80]
43Dimitri Knjazew [60] [68]
44Bradley Korb [21]
45Jerzy J. Korczak [141]
46Alexander Kosorukoff [78]
47John R. Koza [50]
48Lalitha Lakshmi [151]
49Pier Luca Lanzi [55] [112] [114] [115] [126] [140] [148] [149] [154] [157] [171] [172] [178] [179] [184] [191] [193] [202]
50Jeff Leiding [170]
51Minqiang Li [201]
52Cláudio F. Lima [143] [166] [168] [176] [183] [185] [200] [212]
53Robert Lingle Jr. [3]
54Xavier Llorà [76] [89] [105] [112] [113] [118] [136] [137] [138] [142] [146] [147] [151] [153] [159] [162] [173] [177] [180] [183] [186] [187] [190] [194] [204] [205] [206] [210] [215] [218]
55Fernando G. Lobo (Fernando Graça Lobo) [49] [69] [107] [143] [166] [183] [185] [200] [212]
56Daniele Loiacono [148] [149] [154] [157] [171] [172] [179]
57Samir W. Mahfoud [26] [39]
58Todd J. Martinez [170]
59Naohiro Matsumura [136] [137] [177]
60Laura A. McLay [128]
61Ole J. Mengshoel [198]
62Brad L. Miller [40] [53]
63Barbara S. Minsker [94]
64Jose Garcia Moreno-Torres [215]
65Masaharu Munetomo [52]
66Nicholas Nafpliotis [36]
67Bart Naudts [73] [81]
68Luigi Nichetti [202]
69Una-May O'Reilly [48] [135]
70Kei Ohnishi [118] [124]
71Yukio Ohsawa [92]
72Albert Orriols-Puig [182] [188] [191] [192]
73Jane Owens [170]
74Ian C. Parmee [70]
75Gerulf K. M. Pedersen [121]
76Martin Pelikan [58] [62] [66] [67] [69] [72] [80] [84] [87] [91] [104] [108] [111] [130] [131] [145] [146] [156] [159] [160] [162] [163] [164] [165] [166] [167] [169] [185] [189] [195] [197] [199] [200] [208] [209] [212] [213] [214]
77Arnaud Quirin [141]
78Elizabeth Radetic [214]
79Rudrapatna S. Ramakrishna [93] [123]
80Jon Richardson [6]
81Rick L. Riolo [50] [55]
82Franz Rothlauf [61] [65] [74] [88]
83Yuji Sakamoto [44]
84Scott Santarelli [161]
85Shunsuke Saruwatari [204] [210]
86Kumara Sastry [72] [82] [83] [85] [92] [99] [102] [103] [108] [109] [110] [111] [119] [120] [124] [125] [127] [130] [131] [132] [133] [134] [135] [138] [142] [143] [144] [145] [147] [151] [152] [153] [155] [156] [163] [164] [165] [166] [167] [168] [169] [170] [173] [176] [178] [180] [181] [182] [183] [184] [185] [188] [189] [190] [191] [192] [194] [195] [196] [197] [199] [200] [201] [202] [203] [207] [208] [209] [210] [211] [213]
87Yuji Sato [211]
88J. L. Schlabach [54]
89Philip Segrest [7]
90Abhishek Singh [77] [79]
91Robert Elliott Smith (Robert E. Smith) [5] [18] [22] [55]
92Lee Spector [70]
93Patrick O. Stalph [218]
94Wolfgang Stolzmann [55] [59] [63] [64]
95Hiroshi Tamura [186] [187] [210]
96Kurian K. Tharakunnel [90] [98]
97Dirk Thierens [31] [35] [37]
98Alexis L. Thompson [170]
99Ivan Traus [76]
100Shigeyoshi Tsutsui [71] [84] [87]
101Rosane Maria Maffei Vallim [205] [217]
102Davide Voltini [202]
103Siegfried Vössner [56]
104Yuichi Washida [186] [187]
105Michael Welge [118] [173]
106L. Darrell Whitley (Darrell Whitley) [70]
107Stewart W. Wilson [13] [55] [148] [149] [154] [157] [171] [172] [179]
108Paul Winward [175] [176]
109Ali Yassine [101]
110Noriko Imafuji Yasui [186] [187] [204] [206] [210]
111Tian-Li Yu [101] [102] [116] [117] [152] [155] [161] [174] [181] [189] [194] [201]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)