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ORCIDDavid E. Goldberg
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- affiliation: University of Illinois
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2010 – 2019
- 2018
[c176]David E. Goldberg:
On becoming a reflective practitioner. GECCO 2018: 4- 2016
- [j61]David Comiskey, Mark McKane, Robert Eadie, David E. Goldberg:
Providing Collaborative Education with an International Dimension: An Ulster University and Pennsylvania State University Case Study. Int. J. 3 D Inf. Model. 5(2): 1-15 (2016) - 2013
- [j60]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) - [c175]Geoffrey L. Herman, Kathryn F. Trenshaw, David E. Goldberg, Jonathan D. Stolk, Mark H. Somerville:
Creating an intrinsic-motivation-driven course design method. FIE 2013: 1203-1209 - 2012
- [j59]Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. 20(1): 135-160 (2012) - [j58]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
- [j57]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
- [c174]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 - [c173]Albert Orriols-Puig, Xavier Llorà, David E. Goldberg:
How XCS deals with rarities in domains with continuous attributes. GECCO 2010: 1023-1030 - [p12]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
2000 – 2009
- 2009
- [j56]Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan:
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. 17(4): 595-626 (2009) - [j55]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. Evol. Comput. 13(5): 1093-1119 (2009) - [c172]Elizabeth Radetic, Martin Pelikan, David E. Goldberg:
Effects of a deterministic hill climber on hBOA. GECCO 2009: 437-444 - [c171]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 - [c170]Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà:
On the scalability of XCS(F). GECCO 2009: 1315-1322 - [c169]Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. de Carvalho:
The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. GECCO 2009: 1323-1330 - [c168]Thyago S. P. C. Duque, David E. Goldberg:
A new method for linkage learning in the ECGA. GECCO 2009: 1819-1820 - [c167]Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg:
Binary representation in gene expression programming: towards a better scalability. GECCO 2009: 1911-1912 - [c166]Abhishek Verma, Xavier Llorà, David E. Goldberg, Roy H. Campbell:
Scaling Genetic Algorithms Using MapReduce. ISDA 2009: 13-18 - [c165]Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg:
Binary Representation in Gene Expression Programming: Towards a Better Scalability. ISDA 2009: 1441-1444 - [c164]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 - [c163]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
- [j54]Ole J. Mengshoel, David E. Goldberg:
The Crowding Approach to Niching in Genetic Algorithms. Evol. Comput. 16(3): 315-354 (2008) - [j53]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. 9(1): 53-84 (2008) - [c162]Xavier Llorà, Bernie Ács, Loretta Auvil, Boris Capitanu, Michael Welge, David E. Goldberg:
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds. eScience 2008: 238-245 - [c161]Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422 - [c160]Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462 - [c159]Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Improving the efficiency of the extended compact genetic algorithm. GECCO 2008: 467-468 - [c158]Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg:
Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. GECCO 2008: 985-992 - [c157]Yuji Sato, David E. Goldberg, Kumara Sastry:
Improving small population performance under noise with viral infection + tropism. GECCO 2008: 1143-1144 - [c156]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 - [c155]Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. de Carvalho:
A new approach for multi-label classification based on default hierarchies and organizational learning. GECCO (Companion) 2008: 2017-2022 - [c154]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 - [c153]Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Enhancing the Efficiency of the ECGA. PPSN 2008: 165-174 - [p11]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 - [p10]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 - [p9]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
- [j52]David E. Goldberg, Kumara Sastry, Xavier Llorà:
Toward routine billion-variable optimization using genetic algorithms. Complex. 12(3): 27-29 (2007) - [j51]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. 15(2): 133-168 (2007) - [j50]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. Genet. Program. Evolvable Mach. 8(1): 5-37 (2007) - [j49]Naohiro Matsumura, David E. Goldberg, Xavier Llorà:
Communication Gap Management for Fertile Community. Soft Comput. 11(8): 791-798 (2007) - [c152]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 - [c151]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 - [c150]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 - [c149]Kumara Sastry, David E. Goldberg, Xavier Llorà:
Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO 2007: 577-584 - [c148]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 - [c147]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 - [c146]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395 - [c145]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 - [c144]Pier Luca Lanzi, Martin V. Butz, David E. Goldberg:
Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [c139]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 - [c138]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu:
Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) 2007: 362-369 - [c137]Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg:
Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools. ICWSM 2007 - [c136]Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg:
Evolutionary Algorithm for Large Scale Problems. ISDA 2007: 819-822 - [c135]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 - [c134]Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254 - [p8]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
- [j48]Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg:
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. 14(3): 345-380 (2006) - [j47]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. Math. Comput. Model. 43(9-10): 990-1022 (2006) - [c133]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 - [c132]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412 - [c131]Kumara Sastry, Cláudio F. Lima, David E. Goldberg:
Evaluation relaxation using substructural information and linear estimation. GECCO 2006: 419-426 - [c130]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432 - [c129]Paul Winward, David E. Goldberg:
Fluctuating crosstalk, deterministic noise, and GA scalability. GECCO 2006: 1361-1368 - [c128]Tian-Li Yu, David E. Goldberg:
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO 2006: 1385-1392 - [c127]Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge:
Analyzing active interactive genetic algorithms using visual analytics. GECCO 2006: 1417-1418 - [c126]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Classifier prediction based on tile coding. GECCO 2006: 1497-1504 - [c125]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 - [c124]Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martínez, Jeff Leiding, Jane Owens:
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. GECCO 2006: 1745-1752 - [c123]Francesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg:
Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. ICASSP (1) 2006: 865-868 - [c122]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 - [c121]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797 - [p7]Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg:
Real-coded Bayesian Optimization Algorithm. Towards a New Evolutionary Computation 2006: 51-73 - [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 V. 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
- [j46]Ying-Ping Chen, David E. Goldberg:
Convergence Time for the Linkage Learning Genetic Algorithm. Evol. Comput. 13(3): 279-302 (2005) - [j45]Laura A. McLay, David E. Goldberg:
Efficient Genetic Algorithms Using Discretization Scheduling. Evol. Comput. 13(3): 353-385 (2005) - [j44]Martin V. Butz, Kumara Sastry, David E. Goldberg:
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genet. Program. Evolvable Mach. 6(1): 53-77 (2005) - [j43]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evol. Comput. 9(5): 452-473 (2005) - [c120]David E. Goldberg:
Little Models, Big Results. Australian Conference on Artificial Intelligence 2005: 4 - [c119]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 - [c118]Xavier Llorà, Kumara Sastry, David E. Goldberg:
The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation 2005: 596-603 - [c117]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 - [c116]Kumara Sastry, David E. Goldberg, Martin Pelikan:
Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224 - [c115]Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498 - [c114]Xavier Llorà, Kumara Sastry, David E. Goldberg:
Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops 2005: 88-89 - [c113]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 - [c112]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670 - [c111]Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson:
Sub-structural niching in estimation of distribution algorithms. GECCO 2005: 671-678 - [c110]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 - [c109]Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224 - [c108]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 - [c107]Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg:
Quality-time analysis of multi-objective evolutionary algorithms. GECCO 2005: 1455-1462 - [c106]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Extending XCSF beyond linear approximation. GECCO 2005: 1827-1834 - [c105]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
XCS with computed prediction in multistep environments. GECCO 2005: 1859-1866 - [c104]Xavier Llorà, Kumara Sastry, David E. Goldberg:
The compact classifier system: motivation, analysis, and first results. GECCO 2005: 1993-1994 - [c103]Arnaud Quirin, Jerzy Korczak, Martin V. Butz, David E. Goldberg:
Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA 2005: 280-285 - [c102]Xavier Llorà, Kumara Sastry, David E. Goldberg:
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS 2005: 40-58 - [c101]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114 - [c100]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 - [c99]Naohiro Matsumura, David E. Goldberg, Xavier Llorà:
Communication Gaps in Social Networks. WSTST 2005: 543-552 - [c98]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
- [j42]Fernando G. Lobo, David E. Goldberg:
The parameter-less genetic algorithm in practice. Inf. Sci. 167(1-4): 217-232 (2004) - [c97]Kumara Sastry, Hussein A. Abbass, David E. Goldberg:
Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence 2004: 873-885 - [c96]Ying-Ping Chen, David E. Goldberg:
Convergence time for the linkage learning genetic algorithm. IEEE Congress on Evolutionary Computation 2004: 39-46 - [c95]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation 2004: 720-727 - [c94]Gerulf K. M. Pedersen, David E. Goldberg:
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. GECCO (2) 2004: 11-23 - [c93]Kumara Sastry, David E. Goldberg:
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) 2004: 114-125 - [c92]Kumara Sastry, David E. Goldberg:
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) 2004: 126-137 - [c91]Tian-Li Yu, David E. Goldberg:
Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. GECCO (2) 2004: 355-366 - [c90]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 - [c89]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Bounding Learning Time in XCS. GECCO (2) 2004: 739-750 - [c88]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762 - [c87]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 - [c86]Ying-Ping Chen, David E. Goldberg:
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. GECCO (1) 2004: 971-982 - [c85]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 - [c84]Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg:
Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437 - [c83]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 - [c82]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
- [j41]Martin Pelikan, David E. Goldberg:
A hierarchy machine: Learning to optimize from nature and humans. Complex. 8(5): 36-45 (2003) - [j40]Martin V. Butz, David E. Goldberg, Kurian K. Tharakunnel:
Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evol. Comput. 11(3): 239-277 (2003) - [j39]Xavier Llorà, David E. Goldberg:
Bounding the effect of noise in Multiobjective Learning Classifier Systems. Evol. Comput. 11(3): 278-297 (2003) - [j38]Franz Rothlauf, David E. Goldberg:
Redundant Representations in Evolutionary Computation. Evol. Comput. 11(4): 381-415 (2003) - [j37]David E. Goldberg:
Foreword. EURASIP J. Adv. Signal Process. 2003(8): 731-732 (2003) - [j36]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) - [c81]Martin V. Butz, David E. Goldberg:
Generalized State Values in an Anticipatory Learning Classifier System. ABiALS 2003: 282-301 - [c80]Erick Cantú-Paz, David E. Goldberg:
Are Multiple Runs of Genetic Algorithms Better than One? GECCO 2003: 801-812 - [c79]Ying-Ping Chen, David E. Goldberg:
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. GECCO 2003: 825-836 - [c78]Ying-Ping Chen, David E. Goldberg:
Tightness Time for the Linkage Learning Genetic Algorithm. GECCO 2003: 837-849 - [c77]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 - [c76]Xavier Llorà, David E. Goldberg:
Wise Breeding GA via Machine Learning Techniques for Function Optimization. GECCO 2003: 1172-1183 - [c75]Martin Pelikan, David E. Goldberg:
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO 2003: 1271-1282 - [c74]Kumara Sastry, David E. Goldberg:
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO 2003: 1332-1344 - [c73]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 - [c72]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 - [c71]Martin V. Butz, David E. Goldberg:
Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO 2003: 1844-1856 - [c70]Martin V. Butz, Kumara Sastry, David E. Goldberg:
Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869 - [c69]Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg:
Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO 2003: 1906-1917 - [c68]Chang Wook Ahn, David E. Goldberg, Rudrapatna S. Ramakrishna:
Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. PPAM 2003: 544-551 - [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 - 2002
- [j35]Martin Pelikan, David E. Goldberg, Fernando G. Lobo:
A Survey of Optimization by Building and Using Probabilistic Models. Comput. Optim. Appl. 21(1): 5-20 (2002) - [j34]Franz Rothlauf, David E. Goldberg, Armin Heinzl:
Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms. Evol. Comput. 10(1): 75-97 (2002) - [j33]Clarissa Van Hoyweghen, Bart Naudts, David E. Goldberg:
Spin-Flip Symmetry and Synchronization. Evol. Comput. 10(4): 317-344 (2002) - [j32]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. 31(3): 221-258 (2002) - [c67]Shigeyoshi Tsutsui, David E. Goldberg:
Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution. IEEE Congress on Evolutionary Computation 2002: 974-979 - [c66]Laura A. Albert, David E. Goldberg:
Efficient Discretization Scheduling In Multiple Dimensions. GECCO 2002: 271-278 - [c65]Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry:
Fitness Inheritance In Multi-objective Optimization. GECCO 2002: 319-326 - [c64]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 - [c63]Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui:
Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO 2002: 512-519 - [c62]Kumara Sastry, David E. Goldberg:
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO 2002: 528-535 - [c61]Kumara Sastry, David E. Goldberg:
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO 2002: 536-543 - [c60]Clarissa Van Hoyweghen, David E. Goldberg, Bart Naudts:
From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. GECCO 2002: 626-633 - [c59]Nazan Khan, David E. Goldberg, Martin Pelikan:
Multiple-objective Bayesian Optimization Algorithm. GECCO 2002: 684 - [c58]Abhishek Singh, David E. Goldberg, Ying-Ping Chen:
Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. GECCO 2002: 699 - [c57]Alexander Kosorukoff, David E. Goldberg:
Evolutionary Computation As A Form Of Organization. GECCO 2002: 965-972 - [c56]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 - [c55]Ying-Ping Chen, David E. Goldberg:
Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. PPSN 2002: 351-360 - 2001
- [j31]Shigeyoshi Tsutsui, David E. Goldberg:
Search space boundary extension method in real-coded genetic algorithms. Inf. Sci. 133(3-4): 229-247 (2001) - 2000
- [j30]Martin Pelikan, David E. Goldberg, Erick Cantú-Paz:
Linkage Problem, Distribution Estimation, and Bayesian Networks. Evol. Comput. 8(3): 311-340 (2000) - [c54]Martin Pelikan, David E. Goldberg, Fernando G. Lobo:
A survey of optimization by building and using probabilistic models. ACC 2000: 3289-3293 - [c53]Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann:
Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO 2000: 42-49 - [c52]Fernando G. Lobo, David E. Goldberg, Martin Pelikan:
Time Complexity of genetic algorithms on exponentially scaled problems. GECCO 2000: 151-158 - [c51]Dimitri Knjazew, David E. Goldberg:
OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. GECCO 2000: 181-188 - [c50]Martin Pelikan, David E. Goldberg:
Hierarchical Problem Solving and the Bayesian Optimization Algorithm. GECCO 2000: 267-274 - [c49]Martin Pelikan, David E. Goldberg, Erick Cantú-Paz:
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO 2000: 275-282 - [c48]Franz Rothlauf, David E. Goldberg, Armin Heinzl:
Bad Codings and the Utility of Well-Designed Genetic Algorithms. GECCO 2000: 355-364 - [c47]Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann:
Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS 2000: 37-51 - [c46]Martin Pelikan, David E. Goldberg:
Genetic Algorithms, Clustering, and the Breaking of Symmetry. PPSN 2000: 385-394 - [c45]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 - [c44]Dimitri Knjazew, David E. Goldberg:
Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. PPSN 2000: 631-640 - [c43]Martin V. 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:
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 [contents]
1990 – 1999
- 1999
- [j29]J. L. Schlabach, C. C. Hayes, David E. Goldberg:
FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action. Evol. Comput. 7(1): 45-68 (1999) - [j28]Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller:
The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. Evol. Comput. 7(3): 231-253 (1999) - [j27]Masaharu Munetomo, David E. Goldberg:
Linkage Identification by Non-monotonicity Detection for Overlapping Functions. Evol. Comput. 7(4): 377-398 (1999) - [j26]Erick Cantú-Paz, David E. Goldberg:
On the Scalability of Parallel Genetic Algorithms. Evol. Comput. 7(4): 429-449 (1999) - [j25]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. Evol. Comput. 3(2): 159-161 (1999) - [j24]Georges R. Harik, Fernando G. Lobo, David E. Goldberg:
The compact genetic algorithm. IEEE Trans. Evol. Comput. 3(4): 287-297 (1999) - [c42]David E. Goldberg:
Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. GECCO 1999: 212-219 - [c41]David E. Goldberg, Siegfried Vössner:
Optimizing Global-Local Search Hybrids. GECCO 1999: 220-228 - [c40]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
- [c39]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 - [c38]Jeffrey Horn, David E. Goldberg:
Toward a Control Map for Niching. FOGA 1998: 287-310 - [c37]Jeffrey Horn, David E. Goldberg:
A Timing Analysis of Convergence to Fitness Sharing Equilibrium. PPSN 1998: 23-33 - 1997
- [c36]Erick Cantú-Paz, David E. Goldberg:
Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA 1997: 113-120 - [c35]Yuji Sakamoto, David E. Goldberg:
Takeover Time in a Noisy Environment. ICGA 1997: 160-165 - 1996
- [j23]Brad L. Miller, David E. Goldberg:
Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise. Evol. Comput. 4(2): 113-131 (1996) - [c34]Georges R. Harik, David E. Goldberg:
Learning Linkage. FOGA 1996: 247-262 - [c33]Hillol Kargupta, David E. Goldberg:
SEARCH, Blackbox Optimization, And Sample Complexity. FOGA 1996: 291-324 - [c32]Hillol Kargupta, David E. Goldberg:
Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. International Conference on Evolutionary Computation 1996: 792-797 - 1995
- [j22]Brad L. Miller, David E. Goldberg:
Genetic Algorithms, Tournament Selection, and the Effects of Noise. Complex Syst. 9(3) (1995) - [j21]Samir W. Mahfoud, David E. Goldberg:
Parallel Recombinative Simulated Annealing: A Genetic Algorithm. Parallel Comput. 21(1): 1-28 (1995) - 1994
- [j20]David E. Goldberg:
Genetic and Evolutionary Algorithms Come of Age. Commun. ACM 37(3): 113-119 (1994) - [j19]Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb:
Implicit Niching in a Learning Classifier System: Nature's Way. Evol. Comput. 2(1): 37-66 (1994) - [c31]Jeffrey Horn, David E. Goldberg:
Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. FOGA 1994: 243-269 - [c30]Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg:
A Niched Pareto Genetic Algorithm for Multiobjective Optimization. International Conference on Evolutionary Computation 1994: 82-87 - [c29]Dirk Thierens, David E. Goldberg:
Elitist Recombination: An Integrated Selection Recombination GA. International Conference on Evolutionary Computation 1994: 508-512 - [c28]Dirk Thierens, David E. Goldberg:
Convergence Models of Genetic Algorithm Selection Schemes. PPSN 1994: 119-129 - [c27]Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb:
Long Path Problems. PPSN 1994: 149-158 - 1993
- [j18]Kalyanmoy Deb, David E. Goldberg:
Sufficient Conditions for Deceptive and Easy Binary Functions. Ann. Math. Artif. Intell. 10(4): 385-408 (1993) - [j17]Kalyanmoy Deb, Jeffrey Horn, David E. Goldberg:
Multimodal Deceptive Functions. Complex Syst. 7(2) (1993) - [c26]Dirk Thierens, David E. Goldberg:
Mixing in Genetic Algorithms. ICGA 1993: 38-47 - [c25]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
- [j16]Robert E. Smith, David E. Goldberg:
Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Appl. Artif. Intell. 6(1): 79-102 (1992) - [j15]David E. Goldberg:
Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients. Ann. Math. Artif. Intell. 5(1): 35-47 (1992) - [j14]Robert E. Smith, David E. Goldberg:
Diploidy and Dominance in Artificial Genetic Search. Complex Syst. 6(3) (1992) - [j13]David E. Goldberg, Kalyanmoy Deb, James H. Clark:
Genetic Algorithms, Noise, and the Sizing of Populations. Complex Syst. 6(4) (1992) - [c24]Kalyanmoy Deb, David E. Goldberg:
Analyzing Deception in Trap Functions. FOGA 1992: 93-108 - [c23]David E. Goldberg, Kalyanmoy Deb, James H. Clark:
Accounting for Noise in the Sizing of Populations. FOGA 1992: 127-140 - [c22]David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn:
Massive Multimodality, Deception, and Genetic Algorithms. PPSN 1992: 37-48 - [c21]Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg:
Ordering Genetic Algorithms and Deception. PPSN 1992: 49-58 - [c20]Samir W. Mahfoud, David E. Goldberg:
A Genetic Algorithm for Parallel Simulated Annealing. PPSN 1992: 303-312 - 1991
- [j12]Stan Franklin, Max H. Garzon, David E. Goldberg, Bradley Korb, Kalyanmoy Deb, Francesca Aicardi, Andrzej Lech Kawczynski, Wentian Li, Norman H. Packard, David Saad, Emanuel Marom:
Complex Systems: Errata and Changes Volumes 3 and 4. Complex Syst. 5(1) (1991) - [j11]David E. Goldberg:
Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking. Complex Syst. 5(2) (1991) - [j10]David E. Goldberg, Mike Rudnick:
Genetic Algorithms and the Variance of Fitness. Complex Syst. 5(3) (1991) - [c19]David E. Goldberg, Kalyanmoy Deb, Bradley Korb:
Don't Worry, Be Messy. ICGA 1991: 24-30 - [c18]Andrew Horner, David E. Goldberg:
Genetic Algorithms and Computer-Assisted Music Composition. ICGA 1991: 437-441 - [c17]Andrew Horner, David E. Goldberg:
Genetic Algorithms and Computer-Assisted Music Composition. ICMC 1991 - 1990
- [j9]David E. Goldberg:
A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing. Complex Syst. 4(4) (1990) - [j8]David E. Goldberg, Kalyanmoy Deb, Bradley Korb:
Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale. Complex Syst. 4(4) (1990) - [j7]David E. Goldberg:
Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding. Mach. Learn. 5: 407-425 (1990) - [c16]Clayton L. Bridges, David E. Goldberg:
The Nonuniform Walsh-Schema Transform. FOGA 1990: 13-22 - [c15]David E. Goldberg, Kalyanmoy Deb:
A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. FOGA 1990: 69-93 - [c14]Robert E. Smith, David E. Goldberg:
Variable Default Hierarchy Separation in a Classifier System. FOGA 1990: 148-167 - [c13]David E. Goldberg:
The Theory of Virtual Alphabets. PPSN 1990: 13-22
1980 – 1989
- 1989
- [b1]David E. Goldberg:
Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley 1989, ISBN 0-201-15767-5 - [j6]Lashon B. Booker, David E. Goldberg, John H. Holland:
Classifier Systems and Genetic Algorithms. Artif. Intell. 40(1-3): 235-282 (1989) - [j5]David E. Goldberg:
Genetic Algorithms and Walsh Functions: Part I, A Gentle Introduction. Complex Syst. 3(2) (1989) - [j4]David E. Goldberg:
Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis. Complex Syst. 3(2) (1989) - [j3]David E. Goldberg, Bradley Korb, Kalyanmoy Deb:
Messy Genetic Algorithms: Motivation, Analysis, and First Results. Complex Syst. 3(5) (1989) - [c12]Kalyanmoy Deb, David E. Goldberg:
An Investigation of Niche and Species Formation in Genetic Function Optimization. ICGA 1989: 42-50 - [c11]David E. Goldberg:
Sizing Populations for Serial and Parallel Genetic Algorithms. ICGA 1989: 70-79 - [c10]David E. Goldberg:
Zen and the Art of Genetic Algorithms. ICGA 1989: 80-85 - [c9]Stewart W. Wilson, David E. Goldberg:
A Critical Review of Classifier Systems. ICGA 1989: 244-255 - [c8]Joey K. Parker, Ahmad R. Khoogar, David E. Goldberg:
Inverse kinematics of redundant robots using genetic algorithms. ICRA 1989: 271-276 - 1988
- [j2]David E. Goldberg, John H. Holland:
Genetic Algorithms and Machine Learning. Mach. Learn. 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 T. 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 - 1986
- [j1]Keith Harrow, Yedidyah Langsam, David E. Goldberg:
Teching PL/I using a microcomputer. ACM SIGCSE Bull. 18(3): 19-25 (1986) - 1985
- [c3]David E. Goldberg:
Genetic Algorithms and Rules Learning in Dynamic System Control. ICGA 1985: 8-15 - [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
Coauthor Index
[j59] [j56] [j55] [c171] [j53] [c161] [c160] [c159] [c157] [c156] [c153] [p11] [p10] [p9] [i11] [j52] [j50] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c143] [c142] [c141] [c138] [c136] [c135] [c134] [p8] [c133] [c132] [c131] [c130] [c127] [c124] [c123] [c122] [c121] [p5] [p4] [j44] [c118] [c116] [c115] [c114] [c112] [c111] [c110] [c109] [c108] [c104] [c102] [i10] [i9] [i8] [i7] [i6] [i5] [c97] [c95] [c93] [c92] [c84] [i4] [i3] [i2] [i1] [c74] [c73] [c70] [p1] [j32] [c65] [c62] [c61]
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