David E. Goldberg - researchr alias

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Viewing Publication 1 - 100 from 248

2018

On becoming a reflective practitionerDavid E. Goldberg. gecco 2018: 4 [doi]

2016

Providing Collaborative Education with an International Dimension: An Ulster University and Pennsylvania State University Case StudyDavid Comiskey, Mark McKane, Robert Eadie, David E. Goldberg. ij3dim, 5(2):1-15, 2016. [doi]

2013

Creating an intrinsic-motivation-driven course design methodGeoffrey L. Herman, Kathryn F. Trenshaw, David E. Goldberg, Jonathan D. Stolk, Mark H. Somerville. mcs 2013: 1203-1209 [doi]

Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosisJose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava. isci, 222:805-823, 2013. [doi]

2012

Using Previous Models to Bias Structural Learning in the Hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. ec, 20(1):135-160, 2012. [doi]

Resource management and scalability of the XCSF learning classifier systemPatrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz. TCS, 425:126-141, 2012. [doi]

2011

Model accuracy in the Bayesian optimization algorithmCláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg. soco, 15(7):1351-1371, 2011. [doi]

2010

When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive ComputingXavier Llorà, Abhishek Verma, Roy H. Campbell, David E. Goldberg. In Francisco Fernández de Vega, Erick Cantú-Paz, editors, Parallel and Distributed Computational Intelligence. Volume 269 of Studies in Computational Intelligence, pages 11-41, Springer, 2010. [doi]

How XCS deals with rarities in domains with continuous attributesAlbert Orriols-Puig, Xavier Llorà, David E. Goldberg. gecco 2010: 1023-1030 [doi]

Scaling eCGA model building via data-intensive computingAbhishek Verma, Xavier Llorà, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell. cec 2010: 1-8 [doi]

2009

A new method for linkage learning in the ECGAThyago S. P. C. Duque, David E. Goldberg. gecco 2009: 1819-1820 [doi]

Loopy Substructural Local Search for the Bayesian Optimization AlgorithmClÃ¡udio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg. sls 2009: 61-75 [doi]

Binary representation in gene expression programming: towards a better scalabilityJose Garcia Moreno-Torres, Xavier LlorÃ , David E. Goldberg. gecco 2009: 1911-1912 [doi]

Binary Representation in Gene Expression Programming: Towards a Better ScalabilityJose Garcia Moreno-Torres, Xavier LlorÃ , David E. Goldberg. isda 2009: 1441-1444 [doi]

On the Homogenization of Data from Two Laboratories Using Genetic ProgrammingJose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava. iwlcs 2010: 185-197 [doi]

Facetwise Analysis of XCS for Problems With Class ImbalancesAlbert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi. tec, 13(5):1093-1119, 2009. [doi]

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlapMartin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild. gecco 2009: 851-858 [doi]

Effects of a deterministic hill climber on hBOAElizabeth Radetic, Martin Pelikan, David E. Goldberg. gecco 2009: 437-444 [doi]

On the scalability of XCS(F)Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier LlorÃ . gecco 2009: 1315-1322 [doi]

The multi-label OCS with a genetic algorithm for rule discovery: implementation and first resultsRosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, AndrÃ© C. P. L. F. Carvalho. gecco 2009: 1323-1330 [doi]

Scaling Genetic Algorithms Using MapReduceAbhishek Verma, Xavier LlorÃ , David E. Goldberg, Roy H. Campbell. isda 2009: 13-18 [doi]

Dependency Structure Matrix, Genetic Algorithms, and Effective RecombinationTian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan. ec, 17(4):595-626, 2009. [doi]

2008

Improving the efficiency of the extended compact genetic algorithmThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry. gecco 2008: 467-468 [doi]

Enhancing the Efficiency of the ECGAThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry. ppsn 2008: 165-174 [doi]

Using previous models to bias structural learning in the hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2008: 415-422 [doi]

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of ModelsPier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 335-358, Springer, 2008. [doi]

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization ProblemsMinqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 61-86, Springer, 2008. [doi]

Linkage Learning Accuracy in the Bayesian Optimization AlgorithmCláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 87-107, Springer, 2008. [doi]

Meandre: Semantic-Driven Data-Intensive Flows in the CloudsXavier Llorà, B. Acs, Loretta Auvil, Boris Capitanu, Michael Welge, David E. Goldberg, Bernie Ács. eScience 2008: 238-245 [doi]

Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensembleXavier Llorà, Noriko Imafuji Yasui, David E. Goldberg. gecco 2008: 985-992 [doi]

The Crowding Approach to Niching in Genetic AlgorithmsOle J. Mengshoel, David E. Goldberg. ec, 16(3):315-354, 2008. [doi]

iBOA: the incremental bayesian optimization algorithmMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2008: 455-462 [doi]

Sporadic model building for efficiency enhancement of the hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. gpem, 9(1):53-84, 2008. [doi]

Speeding online synthesis via enforced selecto-recombinationShunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg. gecco 2008: 1635-1642 [doi]

Improving small population performance under noise with viral infection + tropismYuji Sato, David E. Goldberg, Kumara Sastry. gecco 2008: 1143-1144 [doi]

A new approach for multi-label classification based on default hierarchies and organizational learningRosane M. M. Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. Carvalho. gecco 2008: 2017-2022 [doi]

Facilitation Support for On-Line Focus Group Discussions by Message Feature MapNoriko Imafuji Yasui, Shunsuke Saruwatari, Xavier Llorà, David E. Goldberg. ICEIS 2007: 563-566

2007

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexityMartin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry. gpem, 8(1):5-37, 2007. [doi]

Evolutionary Algorithm for Large Scale ProblemsThyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg. isda 2007: 819-822 [doi]

A Simple Real-Coded Extended Compact Genetic AlgorithmLuca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez. cec 2007: 342-348 [doi]

Toward routine billion-variable optimization using genetic algorithmsDavid E. Goldberg, Kumara Sastry, Xavier Llorà. complexity, 12(3):27-29, 2007. [doi]

Empirical analysis of generalization and learning in XCS with gradient descentPier Luca Lanzi, Martin V. Butz, David E. Goldberg. gecco 2007: 1814-1821 [doi]

Generalization in the XCSF Classifier System: Analysis, Improvement, and ExtensionPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. ec, 15(2):133-168, 2007. [doi]

Performance Analyses of Factorization Based on Gaussian PDF In rECGAMinqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu. icnc 2007: 362-369 [doi]

Influence of selection and replacement strategies on linkage learning in BOACláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild. cec 2007: 1083-1090 [doi]

Do not match, inherit: fitness surrogates for genetics-based machine learning techniquesXavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg. gecco 2007: 1798-1805 [doi]

Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization ToolsXavier Llorà, Noriko Imafuji Yasui, David E. Goldberg. icwsm 2007: [doi]

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier SystemXavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg. iwlcs 2008: 189-205 [doi]

Communication Gap Management for Fertile CommunityNaohiro Matsumura, David E. Goldberg, Xavier Llorà. soco, 11(8):791-798, 2007. [doi]

Substructrual surrogates for learning decomposable classification problems: implementation and first resultsAlbert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg. gecco 2007: 2875-2882 [doi]

Modeling XCS in class imbalances: population size and parameter settingsAlbert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla. gecco 2007: 1838-1845 [doi]

Substructural Surrogates for Learning Decomposable Classification ProblemsAlbert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla. iwlcs 2008: 235-254 [doi]

Modeling selection pressure in XCS for proportionate and tournament selectionAlbert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla. gecco 2007: 1846-1853 [doi]

Towards billion-bit optimization via a parallel estimation of distribution algorithmKumara Sastry, David E. Goldberg, Xavier Llorà. gecco 2007: 577-584 [doi]

Let s get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problemsKumara Sastry, David E. Goldberg. gecco 2007: 1380-1387 [doi]

Empirical analysis of ideal recombination on random decomposable problemsKumara Sastry, Martin Pelikan, David E. Goldberg. gecco 2007: 1388-1395 [doi]

Delineating Topic and Discussant Transitions in Online Collaborative EnvironmentsNoriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura. ICEIS 2007: 14-21

Key Elements Extraction in Online Collaborative EnvironmentsNoriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura. ICEIS 2009: 148-159 [doi]

Population Sizing to Go: Online Adaptation Using Noise and Substructural MeasurementsTian-Li Yu, Kumara Sastry, David E. Goldberg. In Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, editors, Parameter Setting in Evolutionary Algorithms. Volume 54 of Studies in Computational Intelligence, pages 205-223, Springer, 2007. [doi]

Population sizing for entropy-based model building in discrete estimation of distribution algorithmsTian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan. gecco 2007: 601-608 [doi]

2006

Real-coded Bayesian Optimization AlgorithmChang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg. In José Antonio Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea, editors, Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms. Volume 192 of Studies in Fuzziness and Soft Computing, pages 51-73, Springer, 2006. [doi]

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User ConsistencyFrancesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg. icassp 2006: 865-868 [doi]

Effective and Reliable Online Classification Combining XCS with EDA MechanismsMartin Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 249-273, Springer, 2006. [doi]

Automated Global Structure Extraction for Effective Local Building Block Processing in XCSMartin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg. ec, 14(3):345-380, 2006. [doi]

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptationPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. gecco 2006: 1505-1512 [doi]

Classifier prediction based on tile codingPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. gecco 2006: 1497-1504 [doi]

Substructural Neighborhoods for Local Search in the Bayesian Optimization AlgorithmCláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo. ppsn 2006: 232-241 [doi]

Analyzing active interactive genetic algorithms using visual analyticsXavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge. gecco 2006: 1417-1418 [doi]

Hierarchical Bayesian Optimization AlgorithmMartin Pelikan, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 63-90, Springer, 2006. [doi]

Multiobjective Estimation of Distribution AlgorithmsMartin Pelikan, Kumara Sastry, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 223-248, Springer, 2006. [doi]

Sporadic model building for efficiency enhancement of hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2006: 405-412 [doi]

Performance of Evolutionary Algorithms on Random Decomposable ProblemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. ppsn 2006: 788-797 [doi]

Hierarchical BOA on random decomposable problemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. gecco 2006: 431-432 [doi]

Military antenna design using simple and competent genetic algorithmsScott Santarelli, Tian-Li Yu, David E. Goldberg, Edward E. Altshuler, Teresa O Donnell, Hugh Southall, Robert Mailloux. mcm, 43(9-10):990-1022, 2006. [doi]

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistryKumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens. gecco 2006: 1745-1752 [doi]

Evaluation relaxation using substructural information and linear estimationKumara Sastry, Cláudio F. Lima, David E. Goldberg. gecco 2006: 419-426 [doi]

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA ScalabilityKumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima. evoW 2006: 740-751 [doi]

Efficiency Enhancement of Estimation of Distribution AlgorithmsKumara Sastry, Martin Pelikan, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 161-185, Springer, 2006. [doi]

Fluctuating crosstalk, deterministic noise, and GA scalabilityPaul Winward, David E. Goldberg. gecco 2006: 1361-1368 [doi]

Military Antenna Design Using a Simple Genetic Algorithm and hBOATian-Li Yu, Scott Santarelli, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 275-289, Springer, 2006. [doi]

Conquering hierarchical difficulty by explicit chunking: substructural chromosome compressionTian-Li Yu, David E. Goldberg. gecco 2006: 1385-1392 [doi]

2005

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament SelectionMartin V. Butz, Kumara Sastry, David E. Goldberg. gpem, 6(1):53-77, 2005. [doi]

Extracted global structure makes local building block processing effective in XCSMartin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg. gecco 2005: 655-662 [doi]

Convergence Time for the Linkage Learning Genetic AlgorithmYing-Ping Chen, David E. Goldberg. ec, 13(3):279-302, 2005. [doi]

Quality-time analysis of multi-objective evolutionary algorithmsJian-Hung Chen, Shinn-Ying Ho, David E. Goldberg. gecco 2005: 1455-1462 [doi]

Little Models, Big ResultsDavid E. Goldberg. ausai 2005: 4 [doi]

Combining competent crossover and mutation operators: a probabilistic model building approachCláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo. gecco 2005: 735-742 [doi]

The compact classifier system: scalability analysis and first resultsXavier Llorà, Kumara Sastry, David E. Goldberg. cec 2005: 596-603 [doi]

Binary rule encoding schemes: a study using the compact classifier systemXavier Llorà, Kumara Sastry, David E. Goldberg. gecco 2005: 88-89 [doi]

The compact classifier system: motivation, analysis, and first resultsXavier Llorà, Kumara Sastry, David E. Goldberg. gecco 2005: 1993-1994 [doi]

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitnessXavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi. gecco 2005: 1363-1370 [doi]

Binary Rule Encoding Schemes: A Study Using the Compact Classifier SystemXavier Llorà, Kumara Sastry, David E. Goldberg. iwlcs 2007: 40-58 [doi]

Mining directed social network from message boardNaohiro Matsumura, David E. Goldberg, Xavier Llorà. WWW 2005: 1092-1093 [doi]

Communication Gaps in Social NetworksNaohiro Matsumura, David E. Goldberg, Xavier Llorà. wstst 2005: 543-552 [doi]

Efficient Genetic Algorithms Using Discretization SchedulingLaura A. McLay, David E. Goldberg. ec, 13(3):353-385, 2005. [doi]

Multiobjective hBOA, clustering, and scalabilityMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2005: 663-670 [doi]

Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image ClassificationArnaud Quirin, Jerzy J. Korczak, Martin V. Butz, David E. Goldberg. isda 2005: 280-285 [doi]

Limits of scalability of multiobjective estimation of distribution algorithmsKumara Sastry, David E. Goldberg, Martin Pelikan. cec 2005: 2217-2224 [doi]

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombinationTian-Li Yu, Kumara Sastry, David E. Goldberg. gecco 2005: 1217-1224 [doi]

Online population size adjusting using noise and substructural measurementsTian-Li Yu, Kumara Sastry, David E. Goldberg. cec 2005: 2491-2498 [doi]

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