David E. Goldberg

Publication Activity (10 Years)

Years Active: 1985-2018
Publications (10 Years): 2

Top Venues

Int. J. 3 D Inf. Model.

Inf. Sci.

GECCO

FIE

Publications

David E. Goldberg
On becoming a reflective practitioner. GECCO (2018)
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) (2016)
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 (2013)
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)
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 (2012)
Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. 20 (1) (2012)
Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg
Model accuracy in the Bayesian optimization algorithm. Soft Comput. 15 (7) (2011)
Albert Orriols-Puig, Xavier Llorà, David E. Goldberg
How XCS deals with rarities in domains with continuous attributes. GECCO (2010)
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)
Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava
On the Homogenization of Data from Two Laboratories Using Genetic Programming. IWLCS (2009)
Abhishek Verma, Xavier Llorà, David E. Goldberg, Roy H. Campbell
Scaling Genetic Algorithms Using MapReduce. ISDA (2009)
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)
Elizabeth Radetic, Martin Pelikan, David E. Goldberg
Effects of a deterministic hill climber on hBOA. GECCO (2009)
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) (2009)
Thyago S. P. C. Duque, David E. Goldberg
A new method for linkage learning in the ECGA. GECCO (2009)
Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg
Binary representation in gene expression programming: towards a better scalability. GECCO (2009)
Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà
On the scalability of XCS(F). GECCO (2009)
Cláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg
Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS (2009)
Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg
Binary Representation in Gene Expression Programming: Towards a Better Scalability. ISDA (2009)
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) (2009)
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)
Martin Pelikan, Kumara Sastry, David E. Goldberg
iBOA: the incremental bayesian optimization algorithm. GECCO (2008)
Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry
Enhancing the Efficiency of the ECGA. PPSN (2008)
Yuji Sato, David E. Goldberg, Kumara Sastry
Improving small population performance under noise with viral infection + tropism. GECCO (2008)
Martin Pelikan, Kumara Sastry, David E. Goldberg
iBOA: The Incremental Bayesian Optimization Algorithm CoRR (2008)
Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg
Speeding online synthesis via enforced selecto-recombination. GECCO (2008)
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)
Xavier Llorà, Bernie Ács, Loretta Auvil, Boris Capitanu, Michael Welge, David E. Goldberg
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds. eScience (2008)
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)
Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg
Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. GECCO (2008)
Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
Using previous models to bias structural learning in the hierarchical BOA. GECCO (2008)
Ole J. Mengshoel, David E. Goldberg
The Crowding Approach to Niching in Genetic Algorithms. Evol. Comput. 16 (3) (2008)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. 9 (1) (2008)
Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry
Improving the efficiency of the extended compact genetic algorithm. GECCO (2008)
Noriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura
Delineating Topic and Discussant Transitions in Online Collaborative Environments. ICEIS (2) (2007)
Kumara Sastry, Martin Pelikan, David E. Goldberg
Empirical analysis of ideal recombination on random decomposable problems. GECCO (2007)
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)
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)
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) (2007)
Noriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura
Key Elements Extraction in Online Collaborative Environments. ICEIS (Selected Papers) (2007)
Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla
Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS (2007)
Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
Empirical analysis of generalization and learning in XCS with gradient descent. GECCO (2007)
Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) (2007)
David E. Goldberg, Kumara Sastry, Xavier Llorà
Toward routine billion-variable optimization using genetic algorithms. Complex. 12 (3) (2007)
Naohiro Matsumura, David E. Goldberg, Xavier Llorà
Communication Gap Management for Fertile Community. Soft Comput. 11 (8) (2007)
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)
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) (2007)
Kumara Sastry, David E. Goldberg
Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. GECCO (2007)
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)
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)
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)
Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO (2007)
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)
Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg
Evolutionary Algorithm for Large Scale Problems. ISDA (2007)
Kumara Sastry, David E. Goldberg, Xavier Llorà
Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO (2007)
Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg
Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools. ICWSM (2007)
Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla
Modeling XCS in class imbalances: population size and parameter settings. GECCO (2007)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO (2006)
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)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. GECCO (2006)
Paul Winward, David E. Goldberg
Fluctuating crosstalk, deterministic noise, and GA scalability. GECCO (2006)
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)
Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN (2006)
Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
Hierarchical BOA on random decomposable problems. GECCO (2006)
Tian-Li Yu, David E. Goldberg
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO (2006)
Kumara Sastry, Cláudio F. Lima, David E. Goldberg
Evaluation relaxation using substructural information and linear estimation. GECCO (2006)
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)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
Classifier prediction based on tile coding. GECCO (2006)
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)
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) (2006)
Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge
Analyzing active interactive genetic algorithms using visual analytics. GECCO (2006)
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) (2006)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Multiobjective hBOA, Clustering, and Scalability CoRR (2005)
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
Quality-time analysis of multi-objective evolutionary algorithms. GECCO (2005)
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) (2005)
Xavier Llorà, Kumara Sastry, David E. Goldberg
The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation (2005)
Laura A. McLay, David E. Goldberg
Efficient Genetic Algorithms Using Discretization Scheduling. Evol. Comput. 13 (3) (2005)
Martin Pelikan, Kumara Sastry, David E. Goldberg
Multiobjective hBOA, clustering, and scalability. GECCO (2005)
Kumara Sastry, David E. Goldberg, Martin Pelikan
Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation (2005)
Kumara Sastry, Martin Pelikan, David E. Goldberg
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR (2005)
Jaume Bacardit, David E. Goldberg, Martin V. Butz
Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS (2005)
Arnaud Quirin, Jerzy J. Korczak, Martin V. Butz, David E. Goldberg
Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA (2005)
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) (2005)
Naohiro Matsumura, David E. Goldberg, Xavier Llorà
Communication Gaps in Social Networks. WSTST (2005)
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)
Xavier Llorà, Kumara Sastry, David E. Goldberg
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS (2005)
Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo
Combining competent crossover and mutation operators: a probabilistic model building approach. GECCO (2005)
Xavier Llorà, Kumara Sastry, David E. Goldberg
The compact classifier system: motivation, analysis, and first results. GECCO (2005)
Tian-Li Yu, Kumara Sastry, David E. Goldberg
Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation (2005)
Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
Sub-structural niching in estimation of distribution algorithms. GECCO (2005)
Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
Extracted global structure makes local building block processing effective in XCS. GECCO (2005)
Ying-Ping Chen, David E. Goldberg
Convergence Time for the Linkage Learning Genetic Algorithm. Evol. Comput. 13 (3) (2005)
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 (2005)
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
XCS with computed prediction in multistep environments. GECCO (2005)
David E. Goldberg
Little Models, Big Results. Australian Conference on Artificial Intelligence (2005)
Kumara Sastry, Hussein A. Abbass, David E. Goldberg
Sub-Structural Niching in Non-Stationary Environments CoRR (2005)
Tian-Li Yu, Kumara Sastry, David E. Goldberg
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO (2005)
Xavier Llorà, Kumara Sastry, David E. Goldberg
Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops (2005)
Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
Sub-structural Niching in Estimation of Distribution Algorithms CoRR (2005)
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)

David E. Goldberg.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David E. Goldberg