| 2018 | GECCO | On becoming a reflective practitioner. | David E. Goldberg |
| 2013 | FIE | Creating an intrinsic-motivation-driven course design method. | Geoffrey L. Herman, Kathryn F. Trenshaw, David E. Goldberg, Jonathan D. Stolk, Mark H. Somerville |
| 2010 | CEC | Scaling eCGA model building via data-intensive computing. | Abhishek Verma, Xavier Llor, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell |
| 2010 | GECCO | How XCS deals with rarities in domains with continuous attributes. | Albert Orriols-Puig, Xavier Llor, David E. Goldberg |
| 2009 | GECCO | A new method for linkage learning in the ECGA. | Thyago S. P. C. Duque, David E. Goldberg |
| 2009 | GECCO | Binary representation in gene expression programming: towards a better scalability. | Jose Garcia Moreno-Torres, Xavier Llor, David E. Goldberg |
| 2009 | GECCO | Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. | Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild |
| 2009 | GECCO | Effects of a deterministic hill climber on hBOA. | Elizabeth Radetic, Martin Pelikan, David E. Goldberg |
| 2009 | GECCO | On the scalability of XCS(F). | Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llor |
| 2009 | GECCO | The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. | Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, Andr C. P. L. F. de Carvalho |
| 2009 | ISDA | Binary Representation in Gene Expression Programming: Towards a Better Scalability. | Jose Garcia Moreno-Torres, Xavier Llor, David E. Goldberg |
| 2009 | ISDA | Scaling Genetic Algorithms Using MapReduce. | Abhishek Verma, Xavier Llor, David E. Goldberg, Roy H. Campbell |
| 2008 | GECCO | Improving the efficiency of the extended compact genetic algorithm. | Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry |
| 2008 | GECCO | Using previous models to bias structural learning in the hierarchical BOA. | Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg |
| 2008 | GECCO | Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. | Xavier Llor, Noriko Imafuji Yasui, David E. Goldberg |
| 2008 | GECCO | iBOA: the incremental bayesian optimization algorithm. | Martin Pelikan, Kumara Sastry, David E. Goldberg |
| 2008 | GECCO | Speeding online synthesis via enforced selecto-recombination. | Shunsuke Saruwatari, Xavier Llor, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg |
| 2008 | GECCO | Improving small population performance under noise with viral infection + tropism. | Yuji Sato, David E. Goldberg, Kumara Sastry |
| 2008 | GECCO | A new approach for multi-label classification based on default hierarchies and organizational learning. | Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llor, Thyago S. P. C. Duque, Andr C. P. L. F. de Carvalho |
| 2008 | PPSN | Enhancing the Efficiency of the ECGA. | Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry |
| 2007 | CEC | A Simple Real-Coded Extended Compact Genetic Algorithm. | Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gmez |
| 2007 | CEC | Real-coded ECGA for solving decomposable real-valued optimization problems. | Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu |
| 2007 | CEC | Influence of selection and replacement strategies on linkage learning in BOA. | Cludio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild |
| 2007 | GECCO | Empirical analysis of generalization and learning in XCS with gradient descent. | Pier Luca Lanzi, Martin V. Butz, David E. Goldberg |
| 2007 | GECCO | Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. | Xavier Llor, Kumara Sastry, Tian-Li Yu, David E. Goldberg |
| 2007 | GECCO | Substructrual surrogates for learning decomposable classification problems: implementation and first results. | Albert Orriols-Puig, Ester Bernad-Mansilla, Kumara Sastry, David E. Goldberg |
| 2007 | GECCO | Modeling XCS in class imbalances: population size and parameter settings. | Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernad-Mansilla |
| 2007 | GECCO | Modeling selection pressure in XCS for proportionate and tournament selection. | Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernad-Mansilla |
| 2007 | GECCO | Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. | Kumara Sastry, David E. Goldberg |
| 2007 | GECCO | Towards billion-bit optimization via a parallel estimation of distribution algorithm. | Kumara Sastry, David E. Goldberg, Xavier Llor |
| 2007 | GECCO | Empirical analysis of ideal recombination on random decomposable problems. | Kumara Sastry, Martin Pelikan, David E. Goldberg |
| 2007 | GECCO | Population sizing for entropy-based model building in discrete estimation of distribution algorithms. | Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan |
| 2007 | ICNC | Performance Analyses of Factorization Based on Gaussian PDF In rECGA. | Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu |
| 2007 | ICWSM | Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools. | Xavier Llor, Noriko Imafuji Yasui, David E. Goldberg |
| 2007 | ISDA | Evolutionary Algorithm for Large Scale Problems. | Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg |
| 2006 | GECCO | Classifier prediction based on tile coding. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2006 | GECCO | Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2006 | GECCO | Analyzing active interactive genetic algorithms using visual analytics. | Xavier Llor, Kumara Sastry, Francesc Alas, David E. Goldberg, Michael Welge |
| 2006 | GECCO | Hierarchical BOA on random decomposable problems. | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg |
| 2006 | GECCO | Sporadic model building for efficiency enhancement of hierarchical BOA. | Martin Pelikan, Kumara Sastry, David E. Goldberg |
| 2006 | GECCO | Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. | Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martnez, Jeff Leiding, Jane Owens |
| 2006 | GECCO | Evaluation relaxation using substructural information and linear estimation. | Kumara Sastry, Cludio F. Lima, David E. Goldberg |
| 2006 | GECCO | Fluctuating crosstalk, deterministic noise, and GA scalability. | Paul Winward, David E. Goldberg |
| 2006 | GECCO | Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. | Tian-Li Yu, David E. Goldberg |
| 2006 | ICASSP | Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. | Francesc Alas, Xavier Llor, Llus Formiga, Kumara Sastry, David E. Goldberg |
| 2006 | PPSN | Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. | Cludio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo |
| 2006 | PPSN | Performance of Evolutionary Algorithms on Random Decomposable Problems. | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg |
| 2005 | CEC | XCS with computed prediction for the learning of Boolean functions. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | CEC | XCS with computed prediction in continuous multistep environments. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | CEC | The compact classifier system: scalability analysis and first results. | Xavier Llor, Kumara Sastry, David E. Goldberg |
| 2005 | CEC | Limits of scalability of multiobjective estimation of distribution algorithms. | Kumara Sastry, David E. Goldberg, Martin Pelikan |
| 2005 | CEC | Online population size adjusting using noise and substructural measurements. | Tian-Li Yu, Kumara Sastry, David E. Goldberg |
| 2005 | GECCO | Extracted global structure makes local building block processing effective in XCS. | Martin V. Butz, Martin Pelikan, Xavier Llor, David E. Goldberg |
| 2005 | GECCO | Quality-time analysis of multi-objective evolutionary algorithms. | Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg |
| 2005 | GECCO | Extending XCSF beyond linear approximation. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | XCS with computed prediction in multistep environments. | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
| 2005 | GECCO | Combining competent crossover and mutation operators: a probabilistic model building approach. | Cludio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo |
| 2005 | GECCO | The compact classifier system: motivation, analysis, and first results. | Xavier Llor, Kumara Sastry, David E. Goldberg |
| 2005 | GECCO | Binary rule encoding schemes: a study using the compact classifier system. | Xavier Llor, Kumara Sastry, David E. Goldberg |
| 2005 | GECCO | Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. | Xavier Llor, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi |
| 2005 | GECCO | Multiobjective hBOA, clustering, and scalability. | Martin Pelikan, Kumara Sastry, David E. Goldberg |
| 2005 | GECCO | Sub-structural niching in estimation of distribution algorithms. | Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson |
| 2005 | GECCO | Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. | Tian-Li Yu, Kumara Sastry, David E. Goldberg |
| 2005 | ISDA | Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. | Arnaud Quirin, Jerzy Korczak, Martin V. Butz, David E. Goldberg |
| 2005 | WWW | Mining directed social network from message board. | Naohiro Matsumura, David E. Goldberg, Xavier Llor |
| 2004 | CEC | Convergence time for the linkage learning genetic algorithm. | Ying-Ping Chen, David E. Goldberg |
| 2004 | CEC | Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. | Kumara Sastry, Martin Pelikan, David E. Goldberg |
| 2004 | GECCO | Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World. | Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg |
| 2004 | GECCO | Bounding Learning Time in XCS. | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
| 2004 | GECCO | Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
| 2004 | GECCO | Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. | Ying-Ping Chen, David E. Goldberg |
| 2004 | GECCO | Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making. | Xavier Llor, Kei Ohnishi, Ying-Ping Chen, David E. Goldberg, Michael Welge |
| 2004 | GECCO | Inducing Sequentiality Using Grammatical Genetic Codes. | Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg |
| 2004 | GECCO | Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. | Gerulf K. M. Pedersen, David E. Goldberg |
| 2004 | GECCO | Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. | Kumara Sastry, David E. Goldberg |
| 2004 | GECCO | Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. | Kumara Sastry, David E. Goldberg |
| 2004 | GECCO | Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. | Tian-Li Yu, David E. Goldberg |
| 2004 | GECCO | Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. | Tian-Li Yu, David E. Goldberg |
| 2004 | PPSN | Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. | Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llor, Josep Maria Garrell i Guiu |
| 2004 | PPSN | Knowledge Extraction and Problem Structure Identification in XCS. | Martin V. Butz, Pier Luca Lanzi, Xavier Llor, David E. Goldberg |
| 2003 | GECCO | Bounding the Population Size in XCS to Ensure Reproductive Opportunities. | Martin V. Butz, David E. Goldberg |
| 2003 | GECCO | Tournament Selection: Stable Fitness Pressure in XCS. | Martin V. Butz, Kumara Sastry, David E. Goldberg |
| 2003 | GECCO | Are Multiple Runs of Genetic Algorithms Better than One? | Erick Cant-Paz, David E. Goldberg |
| 2003 | GECCO | An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. | Ying-Ping Chen, David E. Goldberg |
| 2003 | GECCO | Tightness Time for the Linkage Learning Genetic Algorithm. | Ying-Ping Chen, David E. Goldberg |
| 2003 | GECCO | Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA). | Felipe P. Espinoza, Barbara S. Minsker, David E. Goldberg |
| 2003 | GECCO | Wise Breeding GA via Machine Learning Techniques for Function Optimization. | Xavier Llor, David E. Goldberg |
| 2003 | GECCO | Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. | Martin Pelikan, David E. Goldberg |
| 2003 | GECCO | Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. | Kumara Sastry, David E. Goldberg |
| 2003 | GECCO | Towards Building Block Propagation in XCS: A Negative Result and Its Implications. | Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg |
| 2003 | GECCO | Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. | Tian-Li Yu, David E. Goldberg, Kumara Sastry |
| 2003 | GECCO | Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. | Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen |
| 2003 | PPAM | Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. | Chang Wook Ahn, David E. Goldberg, Rudrapatna S. Ramakrishna |
| 2002 | CEC | Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution. | Shigeyoshi Tsutsui, David E. Goldberg |
| 2002 | GECCO | Efficient Discretization Scheduling In Multiple Dimensions. | Laura A. Albert, David E. Goldberg |
| 2002 | GECCO | Fitness Inheritance In Multi-objective Optimization. | Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry |
| 2002 | GECCO | From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. | Clarissa Van Hoyweghen, David E. Goldberg, Bart Naudts |
| 2002 | GECCO | Multiple-objective Bayesian Optimization Algorithm. | Nazan Khan, David E. Goldberg, Martin Pelikan |
| 2002 | GECCO | Evolutionary Computation As A Form Of Organization. | Alexander Kosorukoff, David E. Goldberg |
| 2002 | GECCO | Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. | Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui |
| 2002 | GECCO | Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. | Kumara Sastry, David E. Goldberg |
| 2002 | GECCO | Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. | Kumara Sastry, David E. Goldberg |
| 2002 | GECCO | Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. | Abhishek Singh, David E. Goldberg, Ying-Ping Chen |
| 2002 | GECCO | Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. | Abhishek Singh, David E. Goldberg, Ying-Ping Chen |
| 2002 | PPSN | Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. | Ying-Ping Chen, David E. Goldberg |
| 2000 | GECCO | Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. | Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann |
| 2000 | GECCO | OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. | Dimitri Knjazew, David E. Goldberg |
| 2000 | GECCO | Time Complexity of genetic algorithms on exponentially scaled problems. | Fernando G. Lobo, David E. Goldberg, Martin Pelikan |
| 2000 | GECCO | Hierarchical Problem Solving and the Bayesian Optimization Algorithm. | Martin Pelikan, David E. Goldberg |
| 2000 | GECCO | Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. | Martin Pelikan, David E. Goldberg, Erick Cant-Paz |
| 2000 | GECCO | Bad Codings and the Utility of Well-Designed Genetic Algorithms. | Franz Rothlauf, David E. Goldberg, Armin Heinzl |
| 2000 | PPSN | Investigating Generalization in the Anticipatory Classifier System. | Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann |
| 2000 | PPSN | Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. | Dimitri Knjazew, David E. Goldberg |
| 2000 | PPSN | Genetic Algorithms, Clustering, and the Breaking of Symmetry. | Martin Pelikan, David E. Goldberg |
| 2000 | PPSN | Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs. | Franz Rothlauf, David E. Goldberg |
| 1999 | GECCO | Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. | David E. Goldberg |
| 1999 | GECCO | Optimizing Global-Local Search Hybrids. | David E. Goldberg, Siegfried Vssner |
| 1998 | EUROGP | Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming. | David E. Goldberg, Una-May O'Reilly |
| 1998 | FOGA | Toward a Control Map for Niching. | Jeffrey Horn, David E. Goldberg |
| 1998 | PPSN | A Timing Analysis of Convergence to Fitness Sharing Equilibrium. | Jeffrey Horn, David E. Goldberg |
| 1997 | ICEC | The gambler's ruin problem, genetic algorithms, and the sizing of populations. | Georges R. Harik, Erick Cant-Paz, David E. Goldberg, Brad L. Miller |
| 1997 | ICEC | Decision making in a hybrid genetic algorithm. | Fernando G. Lobo, David E. Goldberg |
| 1996 | FOGA | Learning Linkage. | Georges R. Harik, David E. Goldberg |
| 1996 | FOGA | SEARCH, Blackbox Optimization, And Sample Complexity. | Hillol Kargupta, David E. Goldberg |
| 1996 | ICEC | Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. | Hillol Kargupta, David E. Goldberg |
| 1994 | FOGA | Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. | Jeffrey Horn, David E. Goldberg |
| 1994 | ICEC | A Niched Pareto Genetic Algorithm for Multiobjective Optimization. | Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg |
| 1994 | ICEC | Elitist Recombination: An Integrated Selection Recombination GA. | Dirk Thierens, David E. Goldberg |
| 1994 | PPSN | Long Path Problems. | Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb |
| 1994 | PPSN | Convergence Models of Genetic Algorithm Selection Schemes. | Dirk Thierens, David E. Goldberg |
| 1992 | FOGA | Analyzing Deception in Trap Functions. | Kalyanmoy Deb, David E. Goldberg |
| 1992 | FOGA | Accounting for Noise in the Sizing of Populations. | David E. Goldberg, Kalyanmoy Deb, James H. Clark |
| 1992 | PPSN | Massive Multimodality, Deception, and Genetic Algorithms. | David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn |
| 1992 | PPSN | Ordering Genetic Algorithms and Deception. | Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg |
| 1992 | PPSN | A Genetic Algorithm for Parallel Simulated Annealing. | Samir W. Mahfoud, David E. Goldberg |
| 1990 | FOGA | The Nonuniform Walsh-Schema Transform. | Clayton L. Bridges, David E. Goldberg |
| 1990 | FOGA | A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. | David E. Goldberg, Kalyanmoy Deb |
| 1990 | FOGA | Variable Default Hierarchy Separation in a Classifier System. | Robert E. Smith, David E. Goldberg |
| 1990 | PPSN | The Theory of Virtual Alphabets. | David E. Goldberg |
| 1989 | ICRA | Inverse kinematics of redundant robots using genetic algorithms. | Joey K. Parker, Ahmad R. Khoogar, David E. Goldberg |
| 1985 | IJCAI | Dynamic System Control Using Rule Learning and Genetic Algorithms. | David E. Goldberg |