Genetic Algorithms and Rules Learning in Dynamic System Control. - David E. Goldberg (ICGA, 1985)

AllelesLociand the Traveling Salesman Problem. - David E. Goldberg; Robert Lingle Jr. (ICGA, 1985)

Dynamic System Control Using Rule Learning and Genetic Algorithms. - David E. Goldberg (IJCAI, 1985)

Teching PL/I using a microcomputer. - Keith Harrow; Yedidyah Langsam; David E. Goldberg (ACM SIGCSE Bull., 1986)

An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm. - Clayton L. Bridges; David E. Goldberg (ICGA, 1987)

Genetic Algorithms with Sharing for Multimodalfunction Optimization. - David E. Goldberg; Jon T. Richardson (ICGA, 1987)

Finite Markov Chain Analysis of Genetic Algorithms. - David E. Goldberg; Philip Segrest (ICGA, 1987)

Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. - David E. Goldberg; Robert E. Smith 001 (ICGA, 1987)

Genetic Algorithms and Machine Learning. - David E. Goldberg; John H. Holland (Mach. Learn., 1988)

Genetic Algorithms in Search Optimization and Machine Learning - David E. Goldberg (Addison-Wesley, 1989)

An Investigation of Niche and Species Formation in Genetic Function Optimization. - Kalyanmoy Deb; David E. Goldberg (ICGA, 1989)

Sizing Populations for Serial and Parallel Genetic Algorithms. - David E. Goldberg (ICGA, 1989)

Zen and the Art of Genetic Algorithms. - David E. Goldberg (ICGA, 1989)

A Critical Review of Classifier Systems. - Stewart W. Wilson; David E. Goldberg (ICGA, 1989)

Inverse kinematics of redundant robots using genetic algorithms. - Joey K. Parker; Ahmad R. Khoogar; David E. Goldberg (ICRA, 1989)

Classifier Systems and Genetic Algorithms. - Lashon B. Booker; David E. Goldberg; John H. Holland (Artif. Intell., 1989)

Genetic Algorithms and Walsh Functions: Part I, A Gentle Introduction. - David E. Goldberg (Complex Syst., 1989)

Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis. - David E. Goldberg (Complex Syst., 1989)

Messy Genetic Algorithms: Motivation, Analysis, and First Results. - David E. Goldberg; Bradley Korb; Kalyanmoy Deb (Complex Syst., 1989)

The Nonuniform Walsh-Schema Transform. - Clayton L. Bridges; David E. Goldberg (FOGA, 1990)

A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. - David E. Goldberg; Kalyanmoy Deb (FOGA, 1990)

Variable Default Hierarchy Separation in a Classifier System. - Robert E. Smith 001; David E. Goldberg (FOGA, 1990)

The Theory of Virtual Alphabets. - David E. Goldberg (PPSN, 1990)

A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing. - David E. Goldberg (Complex Syst., 1990)

Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale. - David E. Goldberg; Kalyanmoy Deb; Bradley Korb (Complex Syst., 1990)

Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding. - David E. Goldberg (Mach. Learn., 1990)

Don't Worry, Be Messy. - David E. Goldberg; Kalyanmoy Deb; Bradley Korb (ICGA, 1991)

Genetic Algorithms and Computer-Assisted Music Composition. - Andrew Horner; David E. Goldberg (ICGA, 1991)

Complex Systems: Errata and Changes Volumes 3 and 4. - 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 Syst., 1991)

Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking. - David E. Goldberg (Complex Syst., 1991)

Genetic Algorithms and the Variance of Fitness. - David E. Goldberg; Mike Rudnick (Complex Syst., 1991)

Analyzing Deception in Trap Functions. - Kalyanmoy Deb; David E. Goldberg (FOGA, 1992)

Accounting for Noise in the Sizing of Populations. - David E. Goldberg; Kalyanmoy Deb; James H. Clark 002 (FOGA, 1992)

Massive Multimodality, Deception, and Genetic Algorithms. - David E. Goldberg; Kalyanmoy Deb; Jeffrey Horn (PPSN, 1992)

Ordering Genetic Algorithms and Deception. - Hillol Kargupta; Kalyanmoy Deb; David E. Goldberg (PPSN, 1992)

A Genetic Algorithm for Parallel Simulated Annealing. - Samir W. Mahfoud; David E. Goldberg (PPSN, 1992)

Reinforcement learning with classifier systems: Adaptive default hierarchy formation. - Robert E. Smith 001; David E. Goldberg (Appl. Artif. Intell., 1992)

Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients. - David E. Goldberg (Ann. Math. Artif. Intell., 1992)

Genetic Algorithms, Noise, and the Sizing of Populations. - David E. Goldberg; Kalyanmoy Deb; James H. Clark 002 (Complex Syst., 1992)

Diploidy and Dominance in Artificial Genetic Search. - Robert E. Smith 001; David E. Goldberg (Complex Syst., 1992)

RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. - David E. Goldberg; Kalyanmoy Deb; Hillol Kargupta; Georges R. Harik (ICGA, 1993)

Mixing in Genetic Algorithms. - Dirk Thierens; David E. Goldberg (ICGA, 1993)

Sufficient Conditions for Deceptive and Easy Binary Functions. - Kalyanmoy Deb; David E. Goldberg (Ann. Math. Artif. Intell., 1993)

Multimodal Deceptive Functions. - Kalyanmoy Deb; Jeffrey Horn; David E. Goldberg (Complex Syst., 1993)

Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. - Jeffrey Horn; David E. Goldberg (FOGA, 1994)

A Niched Pareto Genetic Algorithm for Multiobjective Optimization. - Jeffrey Horn; Nicholas Nafpliotis; David E. Goldberg (International Conference on Evolutionary Computation, 1994)

Elitist Recombination: An Integrated Selection Recombination GA. - Dirk Thierens; David E. Goldberg (International Conference on Evolutionary Computation, 1994)

Long Path Problems. - Jeffrey Horn; David E. Goldberg; Kalyanmoy Deb (PPSN, 1994)

Convergence Models of Genetic Algorithm Selection Schemes. - Dirk Thierens; David E. Goldberg (PPSN, 1994)

Genetic and Evolutionary Algorithms Come of Age. - David E. Goldberg (Commun. ACM, 1994)

Implicit Niching in a Learning Classifier System: Nature's Way. - Jeffrey Horn; David E. Goldberg; Kalyanmoy Deb (Evol. Comput., 1994)

Genetic Algorithms, Tournament Selection, and the Effects of Noise. - Brad L. Miller; David E. Goldberg (Complex Syst., 1995)

Parallel Recombinative Simulated Annealing: A Genetic Algorithm. - Samir W. Mahfoud; David E. Goldberg (Parallel Comput., 1995)

Learning Linkage. - Georges R. Harik; David E. Goldberg (FOGA, 1996)

SEARCH, Blackbox Optimization, And Sample Complexity. - Hillol Kargupta; David E. Goldberg (FOGA, 1996)

Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. - Hillol Kargupta; David E. Goldberg (International Conference on Evolutionary Computation, 1996)

Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise. - Brad L. Miller; David E. Goldberg (Evol. Comput., 1996)

Decision making in a hybrid genetic algorithm. - Fernando G. Lobo; David E. Goldberg (ICEC, 1997)

Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. - Erick Cantú-Paz; David E. Goldberg (ICGA, 1997)

Takeover Time in a Noisy Environment. - Yuji Sakamoto; David E. Goldberg (ICGA, 1997)

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 (EuroGP, 1998)

Toward a Control Map for Niching. - Jeffrey Horn; David E. Goldberg (FOGA, 1998)

A Timing Analysis of Convergence to Fitness Sharing Equilibrium. - Jeffrey Horn; David E. Goldberg (PPSN, 1998)

Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. - David E. Goldberg (GECCO, 1999)

Optimizing Global-Local Search Hybrids. - David E. Goldberg; Siegfried Vössner (GECCO, 1999)

What Is a Learning Classifier System? - John H. Holland; Lashon B. Booker; Marco Colombetti; Marco Dorigo; David E. Goldberg; Stephanie Forrest; Rick L. Riolo; Robert E. Smith 001; Pier Luca Lanzi; Wolfgang Stolzmann; Stewart W. Wilson (Learning Classifier Systems, 1999)

On the Scalability of Parallel Genetic Algorithms. - Erick Cantú-Paz; David E. Goldberg (Evol. Comput., 1999)

The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. - Georges R. Harik; Erick Cantú-Paz; David E. Goldberg; Brad L. Miller (Evol. Comput., 1999)

Linkage Identification by Non-monotonicity Detection for Overlapping Functions. - Masaharu Munetomo; David E. Goldberg (Evol. Comput., 1999)

FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action. - J. L. Schlabach; C. C. Hayes; David E. Goldberg (Evol. Comput., 1999)

The compact genetic algorithm. - Georges R. Harik; Fernando G. Lobo; David E. Goldberg (IEEE Trans. Evol. Comput., 1999)

Genetic Programming 1998: Proceedings of the Third Annual Conference. - 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 (IEEE Trans. Evol. Comput., 1999)

Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. - Martin V. Butz; David E. Goldberg; Wolfgang Stolzmann (GECCO, 2000)

OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. - Dimitri Knjazew; David E. Goldberg (GECCO, 2000)

Time Complexity of genetic algorithms on exponentially scaled problems. - Fernando G. Lobo; David E. Goldberg; Martin Pelikan (GECCO, 2000)

Hierarchical Problem Solving and the Bayesian Optimization Algorithm. - Martin Pelikan; David E. Goldberg (GECCO, 2000)

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. - Martin Pelikan; David E. Goldberg; Erick Cantú-Paz (GECCO, 2000)

Bad Codings and the Utility of Well-Designed Genetic Algorithms. - Franz Rothlauf; David E. Goldberg; Armin Heinzl (GECCO, 2000)

Probability-Enhanced Predictions in the Anticipatory Classifier System. - Martin V. Butz; David E. Goldberg; Wolfgang Stolzmann (IWLCS, 2000)

Investigating Generalization in the Anticipatory Classifier System. - Martin V. Butz; David E. Goldberg; Wolfgang Stolzmann (PPSN, 2000)

Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. - Dimitri Knjazew; David E. Goldberg (PPSN, 2000)

Genetic Algorithms, Clustering, and the Breaking of Symmetry. - Martin Pelikan; David E. Goldberg (PPSN, 2000)

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 (PPSN, 2000)

Linkage Problem, Distribution Estimation, and Bayesian Networks. - Martin Pelikan; David E. Goldberg; Erick Cantú-Paz (Evol. Comput., 2000)

Search space boundary extension method in real-coded genetic algorithms. - Shigeyoshi Tsutsui; David E. Goldberg (Inf. Sci., 2001)

Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution. - Shigeyoshi Tsutsui; David E. Goldberg (IEEE Congress on Evolutionary Computation, 2002)

Efficient Discretization Scheduling In Multiple Dimensions. - Laura A. Albert; David E. Goldberg (GECCO, 2002)

Fitness Inheritance In Multi-objective Optimization. - Jian-Hung Chen; David E. Goldberg; Shinn-Ying Ho; Kumara Sastry (GECCO, 2002)

From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. - Clarissa Van Hoyweghen; David E. Goldberg; Bart Naudts (GECCO, 2002)

Multiple-objective Bayesian Optimization Algorithm. - Nazan Khan; David E. Goldberg; Martin Pelikan (GECCO, 2002)

Evolutionary Computation As A Form Of Organization. - Alexander Kosorukoff; David E. Goldberg (GECCO, 2002)

Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. - Martin Pelikan; David E. Goldberg; Shigeyoshi Tsutsui (GECCO, 2002)

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. - Kumara Sastry; David E. Goldberg (GECCO, 2002)

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. - Kumara Sastry; David E. Goldberg (GECCO, 2002)

Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. - Abhishek Singh; David E. Goldberg; Ying-Ping Chen (GECCO, 2002)

Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. - Xavier Llorà; David E. Goldberg; Ivan Traus; Ester Bernadó i Mansilla (IWLCS, 2002)

Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. - Ying-Ping Chen; David E. Goldberg (PPSN, 2002)

A Survey of Optimization by Building and Using Probabilistic Models. - Martin Pelikan; David E. Goldberg; Fernando G. Lobo (Comput. Optim. Appl., 2002)

Spin-Flip Symmetry and Synchronization. - Clarissa Van Hoyweghen; Bart Naudts; David E. Goldberg (Evol. Comput., 2002)

Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms. - Franz Rothlauf; David E. Goldberg; Armin Heinzl (Evol. Comput., 2002)

Scalability of the Bayesian optimization algorithm. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Int. J. Approx. Reason., 2002)

Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. - David E. Goldberg; Kumara Sastry; Yukio Ohsawa (Chance Discovery, 2003)

Generalized State Values in an Anticipatory Learning Classifier System. - Martin V. Butz; David E. Goldberg (ABiALS, 2003)

Bounding the Population Size in XCS to Ensure Reproductive Opportunities. - Martin V. Butz; David E. Goldberg (GECCO, 2003)

Tournament Selection: Stable Fitness Pressure in XCS. - Martin V. Butz; Kumara Sastry; David E. Goldberg (GECCO, 2003)

Are Multiple Runs of Genetic Algorithms Better than One? - Erick Cantú-Paz; David E. Goldberg (GECCO, 2003)

An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. - Ying-Ping Chen; David E. Goldberg (GECCO, 2003)

Tightness Time for the Linkage Learning Genetic Algorithm. - Ying-Ping Chen; David E. Goldberg (GECCO, 2003)

Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA). - Felipe P. Espinoza; Barbara S. Minsker; David E. Goldberg (GECCO, 2003)

Wise Breeding GA via Machine Learning Techniques for Function Optimization. - Xavier Llorà; David E. Goldberg (GECCO, 2003)

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. - Martin Pelikan; David E. Goldberg (GECCO, 2003)

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. - Kumara Sastry; David E. Goldberg (GECCO, 2003)

Towards Building Block Propagation in XCS: A Negative Result and Its Implications. - Kurian K. Tharakunnel; Martin V. Butz; David E. Goldberg (GECCO, 2003)

Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry (GECCO, 2003)

Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. - Tian-Li Yu 001; David E. Goldberg; Ali Yassine; Ying-Ping Chen (GECCO, 2003)

Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. - Chang Wook Ahn; David E. Goldberg; Rudrapatna S. Ramakrishna (PPAM, 2003)

A hierarchy machine: Learning to optimize from nature and humans. - Martin Pelikan; David E. Goldberg (Complex., 2003)

Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. - Martin V. Butz; David E. Goldberg; Kurian K. Tharakunnel (Evol. Comput., 2003)

Bounding the effect of noise in Multiobjective Learning Classifier Systems. - Xavier Llorà; David E. Goldberg (Evol. Comput., 2003)

Redundant Representations in Evolutionary Computation. - Franz Rothlauf; David E. Goldberg (Evol. Comput., 2003)

Foreword. - David E. Goldberg (EURASIP J. Adv. Signal Process., 2003)

Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. - Martin Pelikan; David E. Goldberg; Shigeyoshi Tsutsui (Inf. Sci., 2003)

Sub-structural Niching in Non-stationary Environments. - Kumara Sastry; Hussein A. Abbass; David E. Goldberg (Australian Conference on Artificial Intelligence, 2004)

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. - Kumara Sastry; Martin Pelikan; David E. Goldberg (IEEE Congress on Evolutionary Computation, 2004)

Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World. - Chang Wook Ahn; Rudrapatna S. Ramakrishna; David E. Goldberg (GECCO (1), 2004)

Bounding Learning Time in XCS. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (GECCO (2), 2004)

Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (GECCO (2), 2004)

Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. - Ying-Ping Chen; David E. Goldberg (GECCO (1), 2004)

Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making. - Xavier Llorà; Kei Ohnishi; Ying-Ping Chen; David E. Goldberg; Michael Welge (GECCO (2), 2004)

Inducing Sequentiality Using Grammatical Genetic Codes. - Kei Ohnishi; Kumara Sastry; Ying-Ping Chen; David E. Goldberg (GECCO (1), 2004)

Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. - Gerulf K. M. Pedersen; David E. Goldberg (GECCO (2), 2004)

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. - Kumara Sastry; David E. Goldberg (GECCO (2), 2004)

Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. - Kumara Sastry; David E. Goldberg (GECCO (2), 2004)

Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. - Tian-Li Yu 001; David E. Goldberg (GECCO (2), 2004)

Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. - Tian-Li Yu 001; David E. Goldberg (GECCO (2), 2004)

Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. - Jaume Bacardit; David E. Goldberg; Martin V. Butz; Xavier Llorà; Josep Maria Garrell i Guiu (PPSN, 2004)

Knowledge Extraction and Problem Structure Identification in XCS. - Martin V. Butz; Pier Luca Lanzi; Xavier Llorà; David E. Goldberg (PPSN, 2004)

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms - Kumara Sastry; David E. Goldberg; Martin Pelikan (CoRR, 2004)

The parameter-less genetic algorithm in practice. - Fernando G. Lobo; David E. Goldberg (Inf. Sci., 2004)

Little Models, Big Results. - David E. Goldberg (Australian Conference on Artificial Intelligence, 2005)

XCS with computed prediction for the learning of Boolean functions. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Congress on Evolutionary Computation, 2005)

XCS with computed prediction in continuous multistep environments. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Congress on Evolutionary Computation, 2005)

The compact classifier system: scalability analysis and first results. - Xavier Llorà; Kumara Sastry; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Limits of scalability of multiobjective estimation of distribution algorithms. - Kumara Sastry; David E. Goldberg; Martin Pelikan (Congress on Evolutionary Computation, 2005)

Online population size adjusting using noise and substructural measurements. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Extracted global structure makes local building block processing effective in XCS. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (GECCO, 2005)

Quality-time analysis of multi-objective evolutionary algorithms. - Jian-Hung Chen; Shinn-Ying Ho; David E. Goldberg (GECCO, 2005)

Extending XCSF beyond linear approximation. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2005)

XCS with computed prediction in multistep environments. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2005)

Combining competent crossover and mutation operators: a probabilistic model building approach. - Cláudio F. Lima; Kumara Sastry; David E. Goldberg; Fernando G. Lobo (GECCO, 2005)

The compact classifier system: motivation, analysis, and first results. - Xavier Llorà; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. - Xavier Llorà; Kumara Sastry; David E. Goldberg; Abhimanyu Gupta; Lalitha Lakshmi (GECCO, 2005)

Multiobjective hBOA, clustering, and scalability. - Martin Pelikan; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Sub-structural niching in estimation of distribution algorithms. - Kumara Sastry; Hussein A. Abbass; David E. Goldberg; D. D. Johnson (GECCO, 2005)

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. - Arnaud Quirin; Jerzy Korczak 001; Martin V. Butz; David E. Goldberg (ISDA, 2005)

Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. - Jaume Bacardit; David E. Goldberg; Martin V. Butz (IWLCS, 2005)

Effect of Pure Error-Based Fitness in XCS. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (IWLCS, 2005)

Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. - Xavier Llorà; Kumara Sastry; David E. Goldberg (IWLCS, 2005)

Communication Gaps in Social Networks. - Naohiro Matsumura; David E. Goldberg; Xavier Llorà (WSTST, 2005)

Mining directed social network from message board. - Naohiro Matsumura; David E. Goldberg; Xavier Llorà (WWW (Special interest tracks and posters), 2005)

Population Sizing for Genetic Programming Based Upon Decision Making - Kumara Sastry; Una-May O'Reilly; David E. Goldberg (CoRR, 2005)

Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments - Hussein A. Abbass; Kumara Sastry; David E. Goldberg (CoRR, 2005)

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms - Kumara Sastry; Martin Pelikan; David E. Goldberg (CoRR, 2005)

Convergence Time for the Linkage Learning Genetic Algorithm. - Ying-Ping Chen; David E. Goldberg (Evol. Comput., 2005)

Efficient Genetic Algorithms Using Discretization Scheduling. - Laura A. McLay; David E. Goldberg (Evol. Comput., 2005)

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. - Martin V. Butz; Kumara Sastry; David E. Goldberg (Genet. Program. Evolvable Mach., 2005)

Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (IEEE Trans. Evol. Comput., 2005)

Real-coded Bayesian Optimization Algorithm. - Chang Wook Ahn; Rudrapatna S. Ramakrishna; David E. Goldberg (Towards a New Evolutionary Computation, 2006)

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. - Kumara Sastry; Paul Winward; David E. Goldberg; Cláudio F. Lima (EvoWorkshops, 2006)

Classifier prediction based on tile coding. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2006)

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (GECCO, 2006)

Analyzing active interactive genetic algorithms using visual analytics. - Xavier Llorà; Kumara Sastry; Francesc Alías; David E. Goldberg; Michael Welge (GECCO, 2006)

Hierarchical BOA on random decomposable problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (GECCO, 2006)

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. - Kumara Sastry; D. D. Johnson; Alexis L. Thompson; David E. Goldberg; Todd J. Martínez; Jeff Leiding; Jane Owens (GECCO, 2006)

Evaluation relaxation using substructural information and linear estimation. - Kumara Sastry; Cláudio F. Lima; David E. Goldberg (GECCO, 2006)

Fluctuating crosstalk, deterministic noise, and GA scalability. - Paul Winward; David E. Goldberg (GECCO, 2006)

Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. - Tian-Li Yu 001; David E. Goldberg (GECCO, 2006)

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. - Francesc Alías; Xavier Llorà; Lluís Formiga; Kumara Sastry; David E. Goldberg (ICASSP (1), 2006)

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg; Fernando G. Lobo (PPSN, 2006)

Performance of Evolutionary Algorithms on Random Decomposable Problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (PPSN, 2006)

Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (Evol. Comput., 2006)

Military antenna design using simple and competent genetic algorithms. - Scott Santarelli; Tian-Li Yu 001; David E. Goldberg; Edward E. Altshuler; Teresa O'Donnell; Hugh Southall; Robert Mailloux (Math. Comput. Model., 2006)

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Hierarchical Bayesian Optimization Algorithm. - Martin Pelikan; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Multiobjective Estimation of Distribution Algorithms. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Efficiency Enhancement of Estimation of Distribution Algorithms. - Kumara Sastry; Martin Pelikan; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Military Antenna Design Using a Simple Genetic Algorithm and hBOA. - Tian-Li Yu 001; Scott Santarelli; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

A Simple Real-Coded Extended Compact Genetic Algorithm. - Luca Fossati; Pier Luca Lanzi; Kumara Sastry; David E. Goldberg; Osvaldo Gómez (IEEE Congress on Evolutionary Computation, 2007)

Real-coded ECGA for solving decomposable real-valued optimization problems. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2007)

Influence of selection and replacement strategies on linkage learning in BOA. - Cláudio F. Lima; Martin Pelikan; David E. Goldberg; Fernando G. Lobo; Kumara Sastry; Mark Hauschild (IEEE Congress on Evolutionary Computation, 2007)

Empirical analysis of generalization and learning in XCS with gradient descent. - Pier Luca Lanzi; Martin V. Butz; David E. Goldberg (GECCO, 2007)

Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. - Xavier Llorà; Kumara Sastry; Tian-Li Yu 001; David E. Goldberg (GECCO, 2007)

Substructrual surrogates for learning decomposable classification problems: implementation and first results. - Albert Orriols-Puig; Ester Bernadó-Mansilla; Kumara Sastry; David E. Goldberg (GECCO (Companion), 2007)

Modeling XCS in class imbalances: population size and parameter settings. - Albert Orriols-Puig; David E. Goldberg; Kumara Sastry; Ester Bernadó-Mansilla (GECCO, 2007)

Modeling selection pressure in XCS for proportionate and tournament selection. - Albert Orriols-Puig; Kumara Sastry; Pier Luca Lanzi; David E. Goldberg; Ester Bernadó-Mansilla (GECCO, 2007)

Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. - Kumara Sastry; David E. Goldberg (GECCO, 2007)

Towards billion-bit optimization via a parallel estimation of distribution algorithm. - Kumara Sastry; David E. Goldberg; Xavier Llorà (GECCO, 2007)

Empirical analysis of ideal recombination on random decomposable problems. - Kumara Sastry; Martin Pelikan; David E. Goldberg (GECCO, 2007)

Population sizing for entropy-based model building in discrete estimation of distribution algorithms. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg; Martin Pelikan (GECCO, 2007)

Delineating Topic and Discussant Transitions in Online Collaborative Environments. - Noriko Imafuji Yasui; Xavier Llorà; David E. Goldberg; Yuichi Washida; Hiroshi Tamura (ICEIS (2), 2007)

Key Elements Extraction in Online Collaborative Environments. - Noriko Imafuji Yasui; Xavier Llorà; David E. Goldberg; Yuichi Washida; Hiroshi Tamura (ICEIS (Selected Papers), 2007)

Performance Analyses of Factorization Based on Gaussian PDF In rECGA. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (ICNC (4), 2007)

Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools. - Xavier Llorà; Noriko Imafuji Yasui; David E. Goldberg (ICWSM, 2007)

Evolutionary Algorithm for Large Scale Problems. - Thyago S. P. C. Duque; Kumara Sastry; Alexandre C. B. Delbem; David E. Goldberg (ISDA, 2007)

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. - Xavier Llorà; Kumara Sastry; Cláudio F. Lima; Fernando G. Lobo; David E. Goldberg (IWLCS, 2007)

Substructural Surrogates for Learning Decomposable Classification Problems. - Albert Orriols-Puig; Kumara Sastry; David E. Goldberg; Ester Bernadó-Mansilla (IWLCS, 2007)

Toward routine billion-variable optimization using genetic algorithms. - David E. Goldberg; Kumara Sastry; Xavier Llorà (Complex., 2007)

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. - Pier Luca Lanzi; Daniele Loiacono; Stewart W. Wilson; David E. Goldberg (Evol. Comput., 2007)

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi; Kumara Sastry (Genet. Program. Evolvable Mach., 2007)

Communication Gap Management for Fertile Community. - Naohiro Matsumura; David E. Goldberg; Xavier Llorà (Soft Comput., 2007)

Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (Parameter Setting in Evolutionary Algorithms, 2007)

Meandre: Semantic-Driven Data-Intensive Flows in the Clouds. - Xavier Llorà; Bernie Ács; Loretta Auvil; Boris Capitanu; Michael Welge; David E. Goldberg (eScience, 2008)

Improving the efficiency of the extended compact genetic algorithm. - Thyago S. P. C. Duque; David E. Goldberg; Kumara Sastry (GECCO, 2008)

Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. - Xavier Llorà; Noriko Imafuji Yasui; David E. Goldberg (GECCO, 2008)

iBOA: the incremental bayesian optimization algorithm. - Martin Pelikan; Kumara Sastry; David E. Goldberg (GECCO, 2008)

Speeding online synthesis via enforced selecto-recombination. - Shunsuke Saruwatari; Xavier Llorà; Noriko Imafuji Yasui; Hiroshi Tamura; Kumara Sastry; David E. Goldberg (GECCO, 2008)

Improving small population performance under noise with viral infection + tropism. - Yuji Sato; David E. Goldberg; Kumara Sastry (GECCO, 2008)

A new approach for multi-label classification based on default hierarchies and organizational learning. - Rosane Maria Maffei Vallim; David E. Goldberg; Xavier Llorà; Thyago S. P. C. Duque; André C. P. L. F. de Carvalho (GECCO (Companion), 2008)

Facilitation Support for On-Line Focus Group Discussions by Message Feature Map. - Noriko Imafuji Yasui; Shunsuke Saruwatari; Xavier Llorà; David E. Goldberg (ICEIS (2), 2008)

Enhancing the Efficiency of the ECGA. - Thyago S. P. C. Duque; David E. Goldberg; Kumara Sastry (PPSN, 2008)

The Crowding Approach to Niching in Genetic Algorithms. - Ole J. Mengshoel; David E. Goldberg (Evol. Comput., 2008)

Sporadic model building for efficiency enhancement of the hierarchical BOA. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Genet. Program. Evolvable Mach., 2008)

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. - Pier Luca Lanzi; Luigi Nichetti; Kumara Sastry; Davide Voltini; David E. Goldberg (Linkage in Evolutionary Computation, 2008)

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (Linkage in Evolutionary Computation, 2008)

Linkage Learning Accuracy in the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; David E. Goldberg; Fernando G. Lobo; Kumara Sastry; Mark Hauschild (Linkage in Evolutionary Computation, 2008)

A new method for linkage learning in the ECGA. - Thyago S. P. C. Duque; David E. Goldberg (GECCO, 2009)

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 (GECCO, 2009)

Effects of a deterministic hill climber on hBOA. - Elizabeth Radetic; Martin Pelikan; David E. Goldberg (GECCO, 2009)

On the scalability of XCS(F). - Patrick O. Stalph; Martin V. Butz; David E. Goldberg; Xavier Llorà (GECCO, 2009)

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; André C. P. L. F. de Carvalho (GECCO, 2009)

Binary Representation in Gene Expression Programming: Towards a Better Scalability. - Jose Garcia Moreno-Torres; Xavier Llorà; David E. Goldberg (ISDA, 2009)

Scaling Genetic Algorithms Using MapReduce. - Abhishek Verma; Xavier Llorà; David E. Goldberg; Roy H. Campbell (ISDA, 2009)

On the Homogenization of Data from Two Laboratories Using Genetic Programming. - Jose Garcia Moreno-Torres; Xavier Llorà; David E. Goldberg; Rohit Bhargava (IWLCS, 2009)

Loopy Substructural Local Search for the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; Fernando G. Lobo; David E. Goldberg (SLS, 2009)

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry; Cláudio F. Lima; Martin Pelikan (Evol. Comput., 2009)

Facetwise Analysis of XCS for Problems With Class Imbalances. - Albert Orriols-Puig; Ester Bernadó-Mansilla; David E. Goldberg; Kumara Sastry; Pier Luca Lanzi (IEEE Trans. Evol. Comput., 2009)

Scaling eCGA model building via data-intensive computing. - Abhishek Verma; Xavier Llorà; Shivaram Venkataraman; David E. Goldberg; Roy H. Campbell (IEEE Congress on Evolutionary Computation, 2010)

How XCS deals with rarities in domains with continuous attributes. - Albert Orriols-Puig; Xavier Llorà; David E. Goldberg (GECCO, 2010)

When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing. - Xavier Llorà; Abhishek Verma; Roy H. Campbell; David E. Goldberg (Parallel and Distributed Computational Intelligence, 2010)

Model accuracy in the Bayesian optimization algorithm. - Cláudio F. Lima; Fernando G. Lobo; Martin Pelikan; David E. Goldberg (Soft Comput., 2011)

Using Previous Models to Bias Structural Learning in the Hierarchical BOA. - Mark Hauschild; Martin Pelikan; Kumara Sastry; David E. Goldberg (Evol. Comput., 2012)

Resource management and scalability of the XCSF learning classifier system. - Patrick O. Stalph; Xavier Llorà; David E. Goldberg; Martin V. Butz (Theor. Comput. Sci., 2012)

Creating an intrinsic-motivation-driven course design method. - Geoffrey L. Herman; Kathryn F. Trenshaw; David E. Goldberg; Jonathan D. Stolk; Mark H. Somerville (FIE, 2013)

Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis. - Jose Garcia Moreno-Torres; Xavier Llorà; David E. Goldberg; Rohit Bhargava (Inf. Sci., 2013)

Providing Collaborative Education with an International Dimension: An Ulster University and Pennsylvania State University Case Study. - David Comiskey; Mark McKane; Robert Eadie; David E. Goldberg (Int. J. 3 D Inf. Model., 2016)

On becoming a reflective practitioner. - David E. Goldberg (GECCO, 2018)