David E. Goldberg

264 papers A* 2A 98B 13C 8Misc 1Journal 72Unranked 57

Year	Rank	Type	Title / Venue / Authors
2018	A	`conf`	On becoming a reflective practitioner. GECCO David E. Goldberg
2016	J	`jnl`	Providing Collaborative Education with an International Dimension: An Ulster University and Pennsylvania State University Case Study. Int. J. 3 D Inf. Model. David Comiskey, Mark McKane, Robert Eadie, David E. Goldberg
2013	C	`conf`	Creating an intrinsic-motivation-driven course design method. FIE Geoffrey L. Herman, Kathryn F. Trenshaw, David E. Goldberg, Jonathan D. Stolk, Mark H. Somerville
2013	J	`jnl`	Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis. Inf. Sci. Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava
2012	J	`jnl`	Resource management and scalability of the XCSF learning classifier system. Theor. Comput. Sci. Patrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz
2012	J	`jnl`	Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2011	J	`jnl`	Model accuracy in the Bayesian optimization algorithm. Soft Comput. Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan, David E. Goldberg
2010	A	`conf`	How XCS deals with rarities in domains with continuous attributes. GECCO Albert Orriols-Puig, Xavier Llorà, David E. Goldberg
2010	B	`conf`	Scaling eCGA model building via data-intensive computing. IEEE Congress on Evolutionary Computation Abhishek Verma, Xavier Llorà, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell
2010	—	`ch.`	When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing. Parallel and Distributed Computational Intelligence Xavier Llorà, Abhishek Verma, Roy H. Campbell, David E. Goldberg
2009	A	`conf`	A new method for linkage learning in the ECGA. GECCO Thyago S. P. C. Duque, David E. Goldberg
2009	C	`conf`	Binary Representation in Gene Expression Programming: Towards a Better Scalability. ISDA Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg
2009	A	`conf`	Binary representation in gene expression programming: towards a better scalability. GECCO Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg
2009	J	`jnl`	Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan
2009	A	`conf`	Effects of a deterministic hill climber on hBOA. GECCO Elizabeth Radetic, Martin Pelikan, David E. Goldberg
2009	J	`jnl`	Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi
2009	—	`conf`	Loopy Substructural Local Search for the Bayesian Optimization Algorithm. SLS Cláudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg
2009	—	`conf`	On the Homogenization of Data from Two Laboratories Using Genetic Programming. IWLCS Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava
2009	A	`conf`	On the scalability of XCS(F). GECCO Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà
2009	A	`conf`	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild
2009	C	`conf`	Scaling Genetic Algorithms Using MapReduce. ISDA Abhishek Verma, Xavier Llorà, David E. Goldberg, Roy H. Campbell
2009	A	`conf`	The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. GECCO Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. de Carvalho
2008	—	`conf`	A new approach for multi-label classification based on default hierarchies and organizational learning. GECCO (Companion) Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. de Carvalho
2008	A	`conf`	Enhancing the Efficiency of the ECGA. PPSN Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry
2008	—	`conf`	Facilitation Support for On-Line Focus Group Discussions by Message Feature Map. ICEIS (2) Noriko Imafuji Yasui, Shunsuke Saruwatari, Xavier Llorà, David E. Goldberg
2008	A	`conf`	Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. GECCO Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg
2008	A	`conf`	Improving small population performance under noise with viral infection + tropism. GECCO Yuji Sato, David E. Goldberg, Kumara Sastry
2008	A	`conf`	Improving the efficiency of the extended compact genetic algorithm. GECCO Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry
2008	—	`ch.`	Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2008	—	`conf`	Meandre: Semantic-Driven Data-Intensive Flows in the Clouds. eScience Xavier Llorà, Bernie Ács, Loretta Auvil, Boris Capitanu, Michael Welge, David E. Goldberg
2008	—	`ch.`	Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2008	—	`ch.`	Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg
2008	A	`conf`	Speeding online synthesis via enforced selecto-recombination. GECCO Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg
2008	J	`jnl`	Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	J	`jnl`	The Crowding Approach to Niching in Genetic Algorithms. Evol. Comput. Ole J. Mengshoel, David E. Goldberg
2008	A	`conf`	Using previous models to bias structural learning in the hierarchical BOA. GECCO Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	J	`jnl`	iBOA: The Incremental Bayesian Optimization Algorithm CoRR Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	A	`conf`	iBOA: the incremental bayesian optimization algorithm. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2007	B	`conf`	A Simple Real-Coded Extended Compact Genetic Algorithm. IEEE Congress on Evolutionary Computation Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez
2007	A	`conf`	Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools. ICWSM Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg
2007	J	`jnl`	Communication Gap Management for Fertile Community. Soft Comput. Naohiro Matsumura, David E. Goldberg, Xavier Llorà
2007	—	`conf`	Delineating Topic and Discussant Transitions in Online Collaborative Environments. ICEIS (2) Noriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura
2007	A	`conf`	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg
2007	A	`conf`	Empirical analysis of generalization and learning in XCS with gradient descent. GECCO Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
2007	A	`conf`	Empirical analysis of ideal recombination on random decomposable problems. GECCO Kumara Sastry, Martin Pelikan, David E. Goldberg
2007	C	`conf`	Evolutionary Algorithm for Large Scale Problems. ISDA Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg
2007	J	`jnl`	Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2007	B	`conf`	Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2007	—	`conf`	Key Elements Extraction in Online Collaborative Environments. ICEIS (Selected Papers) Noriko Imafuji Yasui, Xavier Llorà, David E. Goldberg, Yuichi Washida, Hiroshi Tamura
2007	A	`conf`	Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. GECCO Kumara Sastry, David E. Goldberg
2007	—	`conf`	Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. IWLCS Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg
2007	A	`conf`	Modeling XCS in class imbalances: population size and parameter settings. GECCO Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla
2007	A	`conf`	Modeling selection pressure in XCS for proportionate and tournament selection. GECCO Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla
2007	—	`conf`	Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2007	—	`ch.`	Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms Tian-Li Yu, Kumara Sastry, David E. Goldberg
2007	A	`conf`	Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
2007	J	`jnl`	Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry
2007	B	`conf`	Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2007	—	`conf`	Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg
2007	—	`conf`	Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla
2007	J	`jnl`	Toward routine billion-variable optimization using genetic algorithms. Complex. David E. Goldberg, Kumara Sastry, Xavier Llorà
2007	A	`conf`	Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO Kumara Sastry, David E. Goldberg, Xavier Llorà
2006	A	`conf`	Analyzing active interactive genetic algorithms using visual analytics. GECCO Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge
2006	J	`jnl`	Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evol. Comput. Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2006	A	`conf`	Classifier prediction based on tile coding. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2006	A	`conf`	Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO Tian-Li Yu, David E. Goldberg
2006	—	`ch.`	Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2006	—	`ch.`	Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Kumara Sastry, Martin Pelikan, David E. Goldberg
2006	—	`conf`	Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. ICASSP (1) Francesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Evaluation relaxation using substructural information and linear estimation. GECCO Kumara Sastry, Cláudio F. Lima, David E. Goldberg
2006	—	`conf`	Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. EvoWorkshops Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima
2006	A	`conf`	Fluctuating crosstalk, deterministic noise, and GA scalability. GECCO Paul Winward, David E. Goldberg
2006	A	`conf`	Hierarchical BOA on random decomposable problems. GECCO Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	—	`ch.`	Hierarchical Bayesian Optimization Algorithm. Scalable Optimization via Probabilistic Modeling Martin Pelikan, David E. Goldberg
2006	—	`ch.`	Military Antenna Design Using a Simple Genetic Algorithm and hBOA. Scalable Optimization via Probabilistic Modeling Tian-Li Yu, Scott Santarelli, David E. Goldberg
2006	J	`jnl`	Military antenna design using simple and competent genetic algorithms. Math. Comput. Model. Scott Santarelli, Tian-Li Yu, David E. Goldberg, Edward E. Altshuler, Teresa O'Donnell, Hugh Southall, Robert Mailloux
2006	—	`ch.`	Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. GECCO Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martínez, Jeff Leiding, Jane Owens
2006	A	`conf`	Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	A	`conf`	Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2006	—	`ch.`	Real-coded Bayesian Optimization Algorithm. Towards a New Evolutionary Computation Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg
2006	A	`conf`	Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo
2005	C	`conf`	Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA Arnaud Quirin, Jerzy Korczak, Martin V. Butz, David E. Goldberg
2005	—	`conf`	Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	—	`conf`	Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	A	`conf`	Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. GECCO Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi
2005	A	`conf`	Combining competent crossover and mutation operators: a probabilistic model building approach. GECCO Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo
2005	—	`conf`	Communication Gaps in Social Networks. WSTST Naohiro Matsumura, David E. Goldberg, Xavier Llorà
2005	J	`jnl`	Convergence Time for the Linkage Learning Genetic Algorithm. Evol. Comput. Ying-Ping Chen, David E. Goldberg
2005	J	`jnl`	Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR Kumara Sastry, Martin Pelikan, David E. Goldberg
2005	—	`conf`	Effect of Pure Error-Based Fitness in XCS. IWLCS Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2005	J	`jnl`	Efficient Genetic Algorithms Using Discretization Scheduling. Evol. Comput. Laura A. McLay, David E. Goldberg
2005	A	`conf`	Extending XCSF beyond linear approximation. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2005	A	`conf`	Extracted global structure makes local building block processing effective in XCS. GECCO Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg
2005	J	`jnl`	Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evol. Comput. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2005	—	`conf`	Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS Jaume Bacardit, David E. Goldberg, Martin V. Butz
2005	B	`conf`	Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation Kumara Sastry, David E. Goldberg, Martin Pelikan
2005	A	`conf`	Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg
2005	—	`conf`	Little Models, Big Results. Australian Conference on Artificial Intelligence David E. Goldberg
2005	—	`conf`	Mining directed social network from message board. WWW (Special interest tracks and posters) Naohiro Matsumura, David E. Goldberg, Xavier Llorà
2005	J	`jnl`	Multiobjective hBOA, Clustering, and Scalability CoRR Martin Pelikan, Kumara Sastry, David E. Goldberg
2005	A	`conf`	Multiobjective hBOA, clustering, and scalability. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments CoRR Hussein A. Abbass, Kumara Sastry, David E. Goldberg
2005	B	`conf`	Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation Tian-Li Yu, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Population Sizing for Genetic Programming Based Upon Decision Making CoRR Kumara Sastry, Una-May O'Reilly, David E. Goldberg
2005	A	`conf`	Quality-time analysis of multi-objective evolutionary algorithms. GECCO Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
2005	J	`jnl`	Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genet. Program. Evolvable Mach. Martin V. Butz, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Sub-Structural Niching in Non-Stationary Environments CoRR Kumara Sastry, Hussein A. Abbass, David E. Goldberg
2005	J	`jnl`	Sub-structural Niching in Estimation of Distribution Algorithms CoRR Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
2005	A	`conf`	Sub-structural niching in estimation of distribution algorithms. GECCO Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
2005	A	`conf`	The compact classifier system: motivation, analysis, and first results. GECCO Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	B	`conf`	The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	B	`conf`	XCS with computed prediction for the learning of Boolean functions. Congress on Evolutionary Computation Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2005	B	`conf`	XCS with computed prediction in continuous multistep environments. Congress on Evolutionary Computation Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2005	A	`conf`	XCS with computed prediction in multistep environments. GECCO Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg
2004	—	`conf`	Bounding Learning Time in XCS. GECCO (2) Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2004	B	`conf`	Convergence time for the linkage learning genetic algorithm. IEEE Congress on Evolutionary Computation Ying-Ping Chen, David E. Goldberg
2004	—	`conf`	Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. GECCO (2) Tian-Li Yu, David E. Goldberg
2004	—	`conf`	Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) Kumara Sastry, David E. Goldberg
2004	J	`jnl`	Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods CoRR Kumara Sastry, David E. Goldberg
2004	—	`conf`	Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. GECCO (2) Gerulf K. M. Pedersen, David E. Goldberg
2004	J	`jnl`	Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR Kumara Sastry, Martin Pelikan, David E. Goldberg
2004	J	`jnl`	Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR Kumara Sastry, David E. Goldberg, Martin Pelikan
2004	B	`conf`	Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation Kumara Sastry, Martin Pelikan, David E. Goldberg
2004	—	`conf`	Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making. GECCO (2) Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, David E. Goldberg, Michael Welge
2004	—	`conf`	Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
2004	—	`conf`	Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg
2004	—	`conf`	Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. GECCO (1) Ying-Ping Chen, David E. Goldberg
2004	A	`conf`	Knowledge Extraction and Problem Structure Identification in XCS. PPSN Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg
2004	J	`jnl`	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head CoRR Kumara Sastry, David E. Goldberg
2004	—	`conf`	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) Kumara Sastry, David E. Goldberg
2004	—	`conf`	Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World. GECCO (1) Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E. Goldberg
2004	A	`conf`	Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu
2004	—	`conf`	Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence Kumara Sastry, Hussein A. Abbass, David E. Goldberg
2004	J	`jnl`	The parameter-less genetic algorithm in practice. Inf. Sci. Fernando G. Lobo, David E. Goldberg
2004	—	`conf`	Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. GECCO (2) Tian-Li Yu, David E. Goldberg
2003	J	`jnl`	A hierarchy machine: Learning to optimize from nature and humans. Complex. Martin Pelikan, David E. Goldberg
2003	A	`conf`	An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. GECCO Ying-Ping Chen, David E. Goldberg
2003	J	`jnl`	Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evol. Comput. Martin V. Butz, David E. Goldberg, Kurian K. Tharakunnel
2003	A	`conf`	Are Multiple Runs of Genetic Algorithms Better than One? GECCO Erick Cantú-Paz, David E. Goldberg
2003	A	`conf`	Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO Martin V. Butz, David E. Goldberg
2003	J	`jnl`	Bounding the effect of noise in Multiobjective Learning Classifier Systems. Evol. Comput. Xavier Llorà, David E. Goldberg
2003	—	`ch.`	Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. Chance Discovery David E. Goldberg, Kumara Sastry, Yukio Ohsawa
2003	J	`jnl`	Foreword. EURASIP J. Adv. Signal Process. David E. Goldberg
2003	—	`conf`	Generalized State Values in an Anticipatory Learning Classifier System. ABiALS Martin V. Butz, David E. Goldberg
2003	A	`conf`	Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. GECCO Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen
2003	J	`jnl`	Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Inf. Sci. Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
2003	A	`conf`	Hierarchical BOA Solves Ising Spin Glasses and MAXSAT. GECCO Martin Pelikan, David E. Goldberg
2003	Misc	`conf`	Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application. PPAM Chang Wook Ahn, David E. Goldberg, Rudrapatna S. Ramakrishna
2003	A	`conf`	Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO Tian-Li Yu, David E. Goldberg, Kumara Sastry
2003	A	`conf`	Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA). GECCO Felipe P. Espinoza, Barbara S. Minsker, David E. Goldberg
2003	J	`jnl`	Redundant Representations in Evolutionary Computation. Evol. Comput. Franz Rothlauf, David E. Goldberg
2003	A	`conf`	Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO Kumara Sastry, David E. Goldberg
2003	A	`conf`	Tightness Time for the Linkage Learning Genetic Algorithm. GECCO Ying-Ping Chen, David E. Goldberg
2003	A	`conf`	Tournament Selection: Stable Fitness Pressure in XCS. GECCO Martin V. Butz, Kumara Sastry, David E. Goldberg
2003	A	`conf`	Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg
2003	A	`conf`	Wise Breeding GA via Machine Learning Techniques for Function Optimization. GECCO Xavier Llorà, David E. Goldberg
2002	J	`jnl`	A Survey of Optimization by Building and Using Probabilistic Models. Comput. Optim. Appl. Martin Pelikan, David E. Goldberg, Fernando G. Lobo
2002	—	`conf`	Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. IWLCS Xavier Llorà, David E. Goldberg, Ivan Traus, Ester Bernadó i Mansilla
2002	A	`conf`	Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies. GECCO Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui
2002	A	`conf`	Efficient Discretization Scheduling In Multiple Dimensions. GECCO Laura A. Albert, David E. Goldberg
2002	A	`conf`	Evolutionary Computation As A Form Of Organization. GECCO Alexander Kosorukoff, David E. Goldberg
2002	A	`conf`	Fitness Inheritance In Multi-objective Optimization. GECCO Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry
2002	A	`conf`	From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. GECCO Clarissa Van Hoyweghen, David E. Goldberg, Bart Naudts
2002	A	`conf`	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO Kumara Sastry, David E. Goldberg
2002	A	`conf`	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO Kumara Sastry, David E. Goldberg
2002	A	`conf`	Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. PPSN Ying-Ping Chen, David E. Goldberg
2002	A	`conf`	Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. GECCO Abhishek Singh, David E. Goldberg, Ying-Ping Chen
2002	—	`conf`	Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. GECCO Late Breaking Papers Abhishek Singh, David E. Goldberg, Ying-Ping Chen
2002	A	`conf`	Multiple-objective Bayesian Optimization Algorithm. GECCO Nazan Khan, David E. Goldberg, Martin Pelikan
2002	J	`jnl`	Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms. Evol. Comput. Franz Rothlauf, David E. Goldberg, Armin Heinzl
2002	J	`jnl`	Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. Martin Pelikan, Kumara Sastry, David E. Goldberg
2002	B	`conf`	Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution. IEEE Congress on Evolutionary Computation Shigeyoshi Tsutsui, David E. Goldberg
2002	J	`jnl`	Spin-Flip Symmetry and Synchronization. Evol. Comput. Clarissa Van Hoyweghen, Bart Naudts, David E. Goldberg
2001	J	`jnl`	Search space boundary extension method in real-coded genetic algorithms. Inf. Sci. Shigeyoshi Tsutsui, David E. Goldberg
2000	C	`conf`	A survey of optimization by building and using probabilistic models. ACC Martin Pelikan, David E. Goldberg, Fernando G. Lobo
2000	A	`conf`	Bad Codings and the Utility of Well-Designed Genetic Algorithms. GECCO Franz Rothlauf, David E. Goldberg, Armin Heinzl
2000	A	`conf`	Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
2000	A	`conf`	Genetic Algorithms, Clustering, and the Breaking of Symmetry. PPSN Martin Pelikan, David E. Goldberg
2000	A	`conf`	Hierarchical Problem Solving and the Bayesian Optimization Algorithm. GECCO Martin Pelikan, David E. Goldberg
2000	A	`conf`	Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann
2000	A	`conf`	Investigating Generalization in the Anticipatory Classifier System. PPSN Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann
2000	A	`conf`	Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm. PPSN Dimitri Knjazew, David E. Goldberg
2000	J	`jnl`	Linkage Problem, Distribution Estimation, and Bayesian Networks. Evol. Comput. Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
2000	A	`conf`	OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys. GECCO Dimitri Knjazew, David E. Goldberg
2000	—	`conf`	Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann
2000	A	`ed.`	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 GECCO L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer
2000	A	`conf`	Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs. PPSN Franz Rothlauf, David E. Goldberg
2000	A	`conf`	Time Complexity of genetic algorithms on exponentially scaled problems. GECCO Fernando G. Lobo, David E. Goldberg, Martin Pelikan
1999	J	`jnl`	FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action. Evol. Comput. J. L. Schlabach, C. C. Hayes, David E. Goldberg
1999	J	`jnl`	Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evol. Comput. 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
1999	J	`jnl`	Linkage Identification by Non-monotonicity Detection for Overlapping Functions. Evol. Comput. Masaharu Munetomo, David E. Goldberg
1999	J	`jnl`	On the Scalability of Parallel Genetic Algorithms. Evol. Comput. Erick Cantú-Paz, David E. Goldberg
1999	A	`conf`	Optimizing Global-Local Search Hybrids. GECCO David E. Goldberg, Siegfried Vössner
1999	J	`jnl`	The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. Evol. Comput. Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller
1999	J	`jnl`	The compact genetic algorithm. IEEE Trans. Evol. Comput. Georges R. Harik, Fernando G. Lobo, David E. Goldberg
1999	A	`conf`	Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem. GECCO David E. Goldberg
1999	—	`conf`	What Is a Learning Classifier System? Learning Classifier Systems 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
1998	A	`conf`	A Timing Analysis of Convergence to Fitness Sharing Equilibrium. PPSN Jeffrey Horn, David E. Goldberg
1998	A	`conf`	Toward a Control Map for Niching. FOGA Jeffrey Horn, David E. Goldberg
1998	B	`conf`	Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming. EuroGP David E. Goldberg, Una-May O'Reilly
1997	C	`conf`	Decision making in a hybrid genetic algorithm. ICEC Fernando G. Lobo, David E. Goldberg
1997	—	`conf`	Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA Erick Cantú-Paz, David E. Goldberg
1997	—	`conf`	Takeover Time in a Noisy Environment. ICGA Yuji Sakamoto, David E. Goldberg
1997	C	`conf`	The gambler's ruin problem, genetic algorithms, and the sizing of populations. ICEC Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller
1996	J	`jnl`	Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise. Evol. Comput. Brad L. Miller, David E. Goldberg
1996	A	`conf`	Learning Linkage. FOGA Georges R. Harik, David E. Goldberg
1996	—	`conf`	Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. International Conference on Evolutionary Computation Hillol Kargupta, David E. Goldberg
1996	A	`conf`	SEARCH, Blackbox Optimization, And Sample Complexity. FOGA Hillol Kargupta, David E. Goldberg
1995	J	`jnl`	Genetic Algorithms, Tournament Selection, and the Effects of Noise. Complex Syst. Brad L. Miller, David E. Goldberg
1995	J	`jnl`	Parallel Recombinative Simulated Annealing: A Genetic Algorithm. Parallel Comput. Samir W. Mahfoud, David E. Goldberg
1994	—	`conf`	A Niched Pareto Genetic Algorithm for Multiobjective Optimization. International Conference on Evolutionary Computation Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg
1994	A	`conf`	Convergence Models of Genetic Algorithm Selection Schemes. PPSN Dirk Thierens, David E. Goldberg
1994	—	`conf`	Elitist Recombination: An Integrated Selection Recombination GA. International Conference on Evolutionary Computation Dirk Thierens, David E. Goldberg
1994	A	`conf`	Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. FOGA Jeffrey Horn, David E. Goldberg
1994	J	`jnl`	Genetic and Evolutionary Algorithms Come of Age. Commun. ACM David E. Goldberg
1994	J	`jnl`	Implicit Niching in a Learning Classifier System: Nature's Way. Evol. Comput. Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
1994	A	`conf`	Long Path Problems. PPSN Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
1993	—	`conf`	Mixing in Genetic Algorithms. ICGA Dirk Thierens, David E. Goldberg
1993	J	`jnl`	Multimodal Deceptive Functions. Complex Syst. Kalyanmoy Deb, Jeffrey Horn, David E. Goldberg
1993	—	`conf`	RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. ICGA David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik
1993	J	`jnl`	Sufficient Conditions for Deceptive and Easy Binary Functions. Ann. Math. Artif. Intell. Kalyanmoy Deb, David E. Goldberg
1992	A	`conf`	A Genetic Algorithm for Parallel Simulated Annealing. PPSN Samir W. Mahfoud, David E. Goldberg
1992	A	`conf`	Accounting for Noise in the Sizing of Populations. FOGA David E. Goldberg, Kalyanmoy Deb, James H. Clark
1992	A	`conf`	Analyzing Deception in Trap Functions. FOGA Kalyanmoy Deb, David E. Goldberg
1992	J	`jnl`	Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients. Ann. Math. Artif. Intell. David E. Goldberg
1992	J	`jnl`	Diploidy and Dominance in Artificial Genetic Search. Complex Syst. Robert E. Smith, David E. Goldberg
1992	J	`jnl`	Genetic Algorithms, Noise, and the Sizing of Populations. Complex Syst. David E. Goldberg, Kalyanmoy Deb, James H. Clark
1992	A	`conf`	Massive Multimodality, Deception, and Genetic Algorithms. PPSN David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn
1992	A	`conf`	Ordering Genetic Algorithms and Deception. PPSN Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg
1992	J	`jnl`	Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Appl. Artif. Intell. Robert E. Smith, David E. Goldberg
1991	J	`jnl`	Complex Systems: Errata and Changes Volumes 3 and 4. Complex Syst. 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
1991	—	`conf`	Don't Worry, Be Messy. ICGA David E. Goldberg, Kalyanmoy Deb, Bradley Korb
1991	—	`conf`	Genetic Algorithms and Computer-Assisted Music Composition. ICGA Andrew Horner, David E. Goldberg
1991	—	`conf`	Genetic Algorithms and Computer-Assisted Music Composition. ICMC Andrew Horner, David E. Goldberg
1991	J	`jnl`	Genetic Algorithms and the Variance of Fitness. Complex Syst. David E. Goldberg, Mike Rudnick
1991	J	`jnl`	Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking. Complex Syst. David E. Goldberg
1990	A	`conf`	A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. FOGA David E. Goldberg, Kalyanmoy Deb
1990	J	`jnl`	A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing. Complex Syst. David E. Goldberg
1990	J	`jnl`	Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale. Complex Syst. David E. Goldberg, Kalyanmoy Deb, Bradley Korb
1990	J	`jnl`	Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding. Mach. Learn. David E. Goldberg
1990	A	`conf`	The Nonuniform Walsh-Schema Transform. FOGA Clayton L. Bridges, David E. Goldberg
1990	A	`conf`	The Theory of Virtual Alphabets. PPSN David E. Goldberg
1990	A	`conf`	Variable Default Hierarchy Separation in a Classifier System. FOGA Robert E. Smith, David E. Goldberg
1989	—	`conf`	A Critical Review of Classifier Systems. ICGA Stewart W. Wilson, David E. Goldberg
1989	—	`conf`	An Investigation of Niche and Species Formation in Genetic Function Optimization. ICGA Kalyanmoy Deb, David E. Goldberg
1989	J	`jnl`	Classifier Systems and Genetic Algorithms. Artif. Intell. Lashon B. Booker, David E. Goldberg, John H. Holland
1989	J	`jnl`	Genetic Algorithms and Walsh Functions: Part I, A Gentle Introduction. Complex Syst. David E. Goldberg
1989	J	`jnl`	Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis. Complex Syst. David E. Goldberg
1989	—	`book`	Genetic Algorithms in Search Optimization and Machine Learning David E. Goldberg
1989	A*	`conf`	Inverse kinematics of redundant robots using genetic algorithms. ICRA Joey K. Parker, Ahmad R. Khoogar, David E. Goldberg
1989	J	`jnl`	Messy Genetic Algorithms: Motivation, Analysis, and First Results. Complex Syst. David E. Goldberg, Bradley Korb, Kalyanmoy Deb
1989	—	`conf`	Sizing Populations for Serial and Parallel Genetic Algorithms. ICGA David E. Goldberg
1989	—	`conf`	Zen and the Art of Genetic Algorithms. ICGA David E. Goldberg
1988	J	`jnl`	Genetic Algorithms and Machine Learning. Mach. Learn. David E. Goldberg, John H. Holland
1987	—	`conf`	An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm. ICGA Clayton L. Bridges, David E. Goldberg
1987	—	`conf`	Finite Markov Chain Analysis of Genetic Algorithms. ICGA David E. Goldberg, Philip Segrest
1987	—	`conf`	Genetic Algorithms with Sharing for Multimodalfunction Optimization. ICGA David E. Goldberg, Jon T. Richardson
1987	—	`conf`	Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. ICGA David E. Goldberg, Robert E. Smith
1986	J	`jnl`	Teching PL/I using a microcomputer. ACM SIGCSE Bull. Keith Harrow, Yedidyah Langsam, David E. Goldberg
1985	—	`conf`	AllelesLociand the Traveling Salesman Problem. ICGA David E. Goldberg, Robert Lingle Jr.
1985	A*	`conf`	Dynamic System Control Using Rule Learning and Genetic Algorithms. IJCAI David E. Goldberg
1985	—	`conf`	Genetic Algorithms and Rules Learning in Dynamic System Control. ICGA David E. Goldberg