David E. Goldberg

Affiliations:
  • University of Illinois


According to our database1, David E. Goldberg authored at least 246 papers between 1985 and 2018.

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Bibliography

2018
On becoming a reflective practitioner.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2016
Providing Collaborative Education with an International Dimension: An Ulster University and Pennsylvania State University Case Study.
Int. J. 3 D Inf. Model., 2016

2013
Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis.
Inf. Sci., 2013

Creating an intrinsic-motivation-driven course design method.
Proceedings of the IEEE Frontiers in Education Conference, 2013

2012
Resource management and scalability of the XCSF learning classifier system.
Theor. Comput. Sci., 2012

Using Previous Models to Bias Structural Learning in the Hierarchical BOA.
Evol. Comput., 2012

2011
Model accuracy in the Bayesian optimization algorithm.
Soft Comput., 2011

2010
When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

How XCS deals with rarities in domains with continuous attributes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Scaling eCGA model building via data-intensive computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Facetwise Analysis of XCS for Problems With Class Imbalances.
IEEE Trans. Evol. Comput., 2009

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination.
Evol. Comput., 2009

Loopy Substructural Local Search for the Bayesian Optimization Algorithm.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

On the Homogenization of Data from Two Laboratories Using Genetic Programming.
Proceedings of the Learning Classifier Systems, 2009

Scaling Genetic Algorithms Using MapReduce.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

On the scalability of XCS(F).
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Effects of a deterministic hill climber on hBOA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Binary representation in gene expression programming: towards a better scalability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A new method for linkage learning in the ECGA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Linkage Learning Accuracy in the Bayesian Optimization Algorithm.
Proceedings of the Linkage in Evolutionary Computation, 2008

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems.
Proceedings of the Linkage in Evolutionary Computation, 2008

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models.
Proceedings of the Linkage in Evolutionary Computation, 2008

Sporadic model building for efficiency enhancement of the hierarchical BOA.
Genet. Program. Evolvable Mach., 2008

The Crowding Approach to Niching in Genetic Algorithms.
Evol. Comput., 2008

Enhancing the Efficiency of the ECGA.
Proceedings of the Parallel Problem Solving from Nature, 2008

Facilitation Support for On-Line Focus Group Discussions by Message Feature Map.
Proceedings of the ICEIS 2008, 2008

A new approach for multi-label classification based on default hierarchies and organizational learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Improving small population performance under noise with viral infection + tropism.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Speeding online synthesis via enforced selecto-recombination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

iBOA: the incremental bayesian optimization algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Improving the efficiency of the extended compact genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Meandre: Semantic-Driven Data-Intensive Flows in the Clouds.
Proceedings of the Fourth International Conference on e-Science, 2008

2007
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Communication Gap Management for Fertile Community.
Soft Comput., 2007

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity.
Genet. Program. Evolvable Mach., 2007

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension.
Evol. Comput., 2007

Toward routine billion-variable optimization using genetic algorithms.
Complex., 2007

Substructural Surrogates for Learning Decomposable Classification Problems.
Proceedings of the Learning Classifier Systems, 2007

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System.
Proceedings of the Learning Classifier Systems, 2007

Evolutionary Algorithm for Large Scale Problems.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Performance Analyses of Factorization Based on Gaussian PDF In rECGA.
Proceedings of the Third International Conference on Natural Computation, 2007

Key Elements Extraction in Online Collaborative Environments.
Proceedings of the Enterprise Information Systems, 9th International Conference, 2007

Delineating Topic and Discussant Transitions in Online Collaborative Environments.
Proceedings of the ICEIS 2007, 2007

Population sizing for entropy-based model building in discrete estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Empirical analysis of ideal recombination on random decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Towards billion-bit optimization via a parallel estimation of distribution algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling selection pressure in XCS for proportionate and tournament selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling XCS in class imbalances: population size and parameter settings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Substructrual surrogates for learning decomposable classification problems: implementation and first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Do not match, inherit: fitness surrogates for genetics-based machine learning techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Empirical analysis of generalization and learning in XCS with gradient descent.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Influence of selection and replacement strategies on linkage learning in BOA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Real-coded ECGA for solving decomposable real-valued optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Simple Real-Coded Extended Compact Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Military Antenna Design Using a Simple Genetic Algorithm and hBOA.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Efficiency Enhancement of Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Multiobjective Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Hierarchical Bayesian Optimization Algorithm.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Military antenna design using simple and competent genetic algorithms.
Math. Comput. Model., 2006

Automated Global Structure Extraction for Effective Local Building Block Processing in XCS.
Evol. Comput., 2006

Performance of Evolutionary Algorithms on Random Decomposable Problems.
Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Fluctuating crosstalk, deterministic noise, and GA scalability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Evaluation relaxation using substructural information and linear estimation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Hierarchical BOA on random decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Analyzing active interactive genetic algorithms using visual analytics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Classifier prediction based on tile coding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability.
Proceedings of the Applications of Evolutionary Computing, 2006

Real-coded Bayesian Optimization Algorithm.
Proceedings of the Towards a New Evolutionary Computation, 2006

2005
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems.
IEEE Trans. Evol. Comput., 2005

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.
Genet. Program. Evolvable Mach., 2005

Efficient Genetic Algorithms Using Discretization Scheduling.
Evol. Comput., 2005

Convergence Time for the Linkage Learning Genetic Algorithm.
Evol. Comput., 2005

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
CoRR, 2005

Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments
CoRR, 2005

Population Sizing for Genetic Programming Based Upon Decision Making
CoRR, 2005

Mining directed social network from message board.
Proceedings of the 14th international conference on World Wide Web, 2005

Communication Gaps in Social Networks.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Effect of Pure Error-Based Fitness in XCS.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Sub-structural niching in estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multiobjective hBOA, clustering, and scalability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Binary rule encoding schemes: a study using the compact classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

The compact classifier system: motivation, analysis, and first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Combining competent crossover and mutation operators: a probabilistic model building approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

XCS with computed prediction in multistep environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Extending XCSF beyond linear approximation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Quality-time analysis of multi-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Extracted global structure makes local building block processing effective in XCS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Online population size adjusting using noise and substructural measurements.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Limits of scalability of multiobjective estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

The compact classifier system: scalability analysis and first results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

XCS with computed prediction in continuous multistep environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

XCS with computed prediction for the learning of Boolean functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Little Models, Big Results.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
The parameter-less genetic algorithm in practice.
Inf. Sci., 2004

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
CoRR, 2004

Knowledge Extraction and Problem Structure Identification in XCS.
Proceedings of the Parallel Problem Solving from Nature, 2004

Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy.
Proceedings of the Parallel Problem Solving from Nature, 2004

Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2004

Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2004

Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head.
Proceedings of the Genetic and Evolutionary Computation, 2004

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods.
Proceedings of the Genetic and Evolutionary Computation, 2004

Dynamic Uniform Scaling for Multiobjective Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2004

Inducing Sequentiality Using Grammatical Genetic Codes.
Proceedings of the Genetic and Evolutionary Computation, 2004

Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making.
Proceedings of the Genetic and Evolutionary Computation, 2004

Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2004

Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems.
Proceedings of the Genetic and Evolutionary Computation, 2004

Bounding Learning Time in XCS.
Proceedings of the Genetic and Evolutionary Computation, 2004

Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World.
Proceedings of the Genetic and Evolutionary Computation, 2004

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Sub-structural Niching in Non-stationary Environments.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert.
Inf. Sci., 2003

Foreword.
EURASIP J. Adv. Signal Process., 2003

Redundant Representations in Evolutionary Computation.
Evol. Comput., 2003

Bounding the effect of noise in Multiobjective Learning Classifier Systems.
Evol. Comput., 2003

Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy.
Evol. Comput., 2003

A hierarchy machine: Learning to optimize from nature and humans.
Complex., 2003

Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application.
Proceedings of the Parallel Processing and Applied Mathematics, 2003

Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2003

Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem.
Proceedings of the Genetic and Evolutionary Computation, 2003

Towards Building Block Propagation in XCS: A Negative Result and Its Implications.
Proceedings of the Genetic and Evolutionary Computation, 2003

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage.
Proceedings of the Genetic and Evolutionary Computation, 2003

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT.
Proceedings of the Genetic and Evolutionary Computation, 2003

Wise Breeding GA via Machine Learning Techniques for Function Optimization.
Proceedings of the Genetic and Evolutionary Computation, 2003

Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA).
Proceedings of the Genetic and Evolutionary Computation, 2003

Tightness Time for the Linkage Learning Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2003

An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem.
Proceedings of the Genetic and Evolutionary Computation, 2003

Are Multiple Runs of Genetic Algorithms Better than One?
Proceedings of the Genetic and Evolutionary Computation, 2003

Tournament Selection: Stable Fitness Pressure in XCS.
Proceedings of the Genetic and Evolutionary Computation, 2003

Bounding the Population Size in XCS to Ensure Reproductive Opportunities.
Proceedings of the Genetic and Evolutionary Computation, 2003

Generalized State Values in an Anticipatory Learning Classifier System.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs.
Proceedings of the Chance Discovery, 2003

2002
Scalability of the Bayesian optimization algorithm.
Int. J. Approx. Reason., 2002

Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms.
Evol. Comput., 2002

Spin-Flip Symmetry and Synchronization.
Evol. Comput., 2002

A Survey of Optimization by Building and Using Probabilistic Models.
Comput. Optim. Appl., 2002

Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2002

Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection.
Proceedings of the Learning Classifier Systems, 5th International Workshop, 2002

Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Evolutionary Computation As A Form Of Organization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Multiple-objective Bayesian Optimization Algorithm.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

From Twomax To The Ising Model: Easy And Hard Symmetrical Problems.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Fitness Inheritance In Multi-objective Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Efficient Discretization Scheduling In Multiple Dimensions.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Search space boundary extension method in real-coded genetic algorithms.
Inf. Sci., 2001

2000
Linkage Problem, Distribution Estimation, and Bayesian Networks.
Evol. Comput., 2000

Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs.
Proceedings of the Parallel Problem Solving from Nature, 2000

Genetic Algorithms, Clustering, and the Breaking of Symmetry.
Proceedings of the Parallel Problem Solving from Nature, 2000

Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2000

Investigating Generalization in the Anticipatory Classifier System.
Proceedings of the Parallel Problem Solving from Nature, 2000

Probability-Enhanced Predictions in the Anticipatory Classifier System.
Proceedings of the Advances in Learning Classifier Systems, Third International Workshop, 2000

Bad Codings and the Utility of Well-Designed Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Hierarchical Problem Solving and the Bayesian Optimization Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Time Complexity of genetic algorithms on exponentially scaled problems.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

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

The compact genetic algorithm.
IEEE Trans. Evol. Comput., 1999

FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action.
Evol. Comput., 1999

Linkage Identification by Non-monotonicity Detection for Overlapping Functions.
Evol. Comput., 1999

The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations.
Evol. Comput., 1999

On the Scalability of Parallel Genetic Algorithms.
Evol. Comput., 1999

What Is a Learning Classifier System?
Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999

Optimizing Global-Local Search Hybrids.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
A Timing Analysis of Convergence to Fitness Sharing Equilibrium.
Proceedings of the Parallel Problem Solving from Nature, 1998

Toward a Control Map for Niching.
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming.
Proceedings of the Genetic Programming, First European Workshop, 1998

1997
Takeover Time in a Noisy Environment.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996
Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise.
Evol. Comput., 1996

Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

SEARCH, Blackbox Optimization, And Sample Complexity.
Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

Learning Linkage.
Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

1995
Parallel Recombinative Simulated Annealing: A Genetic Algorithm.
Parallel Comput., 1995

Genetic Algorithms, Tournament Selection, and the Effects of Noise.
Complex Syst., 1995

1994
Implicit Niching in a Learning Classifier System: Nature's Way.
Evol. Comput., 1994

Genetic and Evolutionary Algorithms Come of Age.
Commun. ACM, 1994

Convergence Models of Genetic Algorithm Selection Schemes.
Proceedings of the Parallel Problem Solving from Nature, 1994

Long Path Problems.
Proceedings of the Parallel Problem Solving from Nature, 1994

Elitist Recombination: An Integrated Selection Recombination GA.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

A Niched Pareto Genetic Algorithm for Multiobjective Optimization.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Genetic Algorithm Difficulty and the Modality of Fitness Landscapes.
Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

1993
Multimodal Deceptive Functions.
Complex Syst., 1993

Sufficient Conditions for Deceptive and Easy Binary Functions.
Ann. Math. Artif. Intell., 1993

Mixing in Genetic Algorithms.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992
Diploidy and Dominance in Artificial Genetic Search.
Complex Syst., 1992

Genetic Algorithms, Noise, and the Sizing of Populations.
Complex Syst., 1992

Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients.
Ann. Math. Artif. Intell., 1992

Reinforcement learning with classifier systems: Adaptive default hierarchy formation.
Appl. Artif. Intell., 1992

A Genetic Algorithm for Parallel Simulated Annealing.
Proceedings of the Parallel Problem Solving from Nature 2, 1992

Ordering Genetic Algorithms and Deception.
Proceedings of the Parallel Problem Solving from Nature 2, 1992

Massive Multimodality, Deception, and Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature 2, 1992

Accounting for Noise in the Sizing of Populations.
Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

Analyzing Deception in Trap Functions.
Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

1991
Genetic Algorithms and the Variance of Fitness.
Complex Syst., 1991

Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking.
Complex Syst., 1991

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

Genetic Algorithms and Computer-Assisted Music Composition.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

Don't Worry, Be Messy.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding.
Mach. Learn., 1990

Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale.
Complex Syst., 1990

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

The Theory of Virtual Alphabets.
Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990

Variable Default Hierarchy Separation in a Classifier System.
Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

A Comparative Analysis of Selection Schemes Used in Genetic Algorithms.
Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

The Nonuniform Walsh-Schema Transform.
Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

1989
Messy Genetic Algorithms: Motivation, Analysis, and First Results.
Complex Syst., 1989

Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis.
Complex Syst., 1989

Genetic Algorithms and Walsh Functions: Part I, A Gentle Introduction.
Complex Syst., 1989

Classifier Systems and Genetic Algorithms.
Artif. Intell., 1989

Inverse kinematics of redundant robots using genetic algorithms.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989

A Critical Review of Classifier Systems.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

Zen and the Art of Genetic Algorithms.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

Sizing Populations for Serial and Parallel Genetic Algorithms.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

An Investigation of Niche and Species Formation in Genetic Function Optimization.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

Genetic Algorithms in Search Optimization and Machine Learning
Addison-Wesley, ISBN: 0-201-15767-5, 1989

1988
Genetic Algorithms and Machine Learning.
Mach. Learn., 1988

1987
Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

Finite Markov Chain Analysis of Genetic Algorithms.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

Genetic Algorithms with Sharing for Multimodalfunction Optimization.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

1986
Teching PL/I using a microcomputer.
ACM SIGCSE Bull., 1986

1985
Dynamic System Control Using Rule Learning and Genetic Algorithms.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

AllelesLociand the Traveling Salesman Problem.
Proceedings of the 1st International Conference on Genetic Algorithms, 1985

Genetic Algorithms and Rules Learning in Dynamic System Control.
Proceedings of the 1st International Conference on Genetic Algorithms, 1985


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