David E. Goldberg

David E. Goldberg's AcademicInfluence.com Rankings

David E. Goldberg

Computer Science

#323

World Rank

#336

Historical Rank

#183

USA Rank

Database

#18

World Rank

#19

Historical Rank

USA Rank

Artificial Intelligence

#33

World Rank

#36

Historical Rank

#17

USA Rank

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Computer Science

Why Is David E. Goldberg Influential?

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According to Wikipedia, David Edward Goldberg is an American computer scientist, civil engineer, and former professor. Until 2010, he was a professor in the department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign and was noted for his work in the field of genetic algorithms. He was the director of the Illinois Genetic Algorithms Laboratory and the co-founder & chief scientist of Nextumi, which later changed its name to ShareThis. He is the author of Genetic Algorithms in Search, Optimization and Machine Learning, one of the most cited books in computer science.

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David E. Goldberg's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Genetic Algorithms in Search Optimization and Machine Learning (1988) (59978)
Genetic Algorithms (2002) (10313)
Genetic Algorithms and Machine Learning (1988) (3000)
A niched Pareto genetic algorithm for multiobjective optimization (1994) (2756)
A Comparative Analysis of Selection Schemes Used in Genetic Algorithms (1990) (2672)
Genetic Algorithms with Sharing for Multimodalfunction Optimization (1987) (2275)
Messy Genetic Algorithms: Motivation, Analysis, and First Results (1989) (1412)
Alleles, loci and the traveling salesman problem (1985) (1315)
The compact genetic algorithm (1998) (1150)
BOA: the Bayesian optimization algorithm (1999) (1129)
The Design of Innovation: Lessons from and for Competent Genetic Algorithms (2002) (1071)
Genetic Algorithms, Tournament Selection, and the Effects of Noise (1995) (1056)
An Investigation of Niche and Species Formation in Genetic Function Optimization (1989) (1032)
Classifier Systems and Genetic Algorithms (1989) (974)
A Survey of Optimization by Building and Using Probabilistic Models (2000) (931)
Genetic Algorithms, Noise, and the Sizing of Populations (1992) (772)
Sizing Populations for Serial and Parallel Genetic Algorithms (1989) (585)
The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations (1997) (549)
Real-coded Genetic Algorithms, Virtual Alphabets, and Blocking (1991) (493)
Genetic and evolutionary algorithms come of age (1994) (411)
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms (1993) (404)
Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy (1987) (396)
Analyzing Deception in Trap Functions (1992) (393)
ENGINEERING OPTIMIZATION VIA GENETIC ALGORITHM, IN WILL (1986) (393)
Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise (1996) (386)
AllelesLociand the Traveling Salesman Problem (1985) (384)
Optimization and Machine Learning (2022) (349)
Linkage Problem, Distribution Estimation, and Bayesian Networks (2000) (347)
Parallel Recombinative Simulated Annealing: A Genetic Algorithm (1995) (346)
Massive Multimodality, Deception, and Genetic Algorithms (1992) (343)
Finite Markov Chain Analysis of Genetic Algorithms (1987) (323)
Genetic Algorithms in Pipeline Optimization (1987) (303)
Genetic Algorithms and Walsh Functions: Part I, A Gentle Introduction (1989) (296)
Control system optimization using genetic algorithms (1992) (289)
Mixing in Genetic Algorithms (1993) (277)
A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing (1990) (277)
Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis (1989) (232)
Convergence Models of Genetic Algorithm Selection Schemes (1994) (226)
Bayesian optimization algorithm: from single level to hierarchy (2002) (217)
Designing a competent simple genetic algorithm for search and optimization (2000) (212)
Escaping hierarchical traps with competent genetic algorithms (2001) (211)
An information theoretic method for developing modular architectures using genetic algorithms (2007) (205)
Probabilistic Crowding: Deterministic Crowding with Probabilistic Replacement (1999) (199)
Optimizing Global-Local Search Hybrids (1999) (198)
Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale (1990) (190)
Efficient Parallel Genetic Algorithms: Theory and Practice (2000) (185)
A Critical Review of Classifier Systems (1989) (183)
Genetic algorithm design of Pareto optimal broadband microwave absorbers (1996) (182)
Scaling Genetic Algorithms Using MapReduce (2009) (179)
Genetic Algorithm Difficulty and the Modality of Fitness Landscapes (1994) (176)
Toward a Better Understanding of Mixing in Genetic Algorithms (1993) (170)
Redundant Representations in Evolutionary Computation (2003) (169)
Hierarchical Bayesian Optimization Algorithm (2006) (168)
Genetic Algorithms and Computer-Assisted Music Composition (1991) (167)
Genetic Programming 1998: Proceedings of the Third Annual Conference (1999) (164)
Inverse kinematics of redundant robots using genetic algorithms (1989) (160)
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT (2003) (158)
Implicit Niching in a Learning Classifier System: Nature's Way (1994) (156)
Elitist recombination: an integrated selection recombination GA (1994) (154)
Risk‐based in situ bioremediation design using a noisy genetic algorithm (2000) (153)
Domino convergence, drift, and the temporal-salience structure of problems (1998) (152)
Long Path Problems (1994) (152)
SIGNAL TIMING DETERMINATION USING GENETIC ALGORITHMS (1992) (149)
Learning Linkage (1996) (146)
What Is a Learning Classifier System? (1999) (145)
Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm‐II (2003) (139)
The Design of Innovation (2002) (136)
On becoming a reflective practitioner (2018) (132)
Genetic Algorithms and the Variance of Fitness (1991) (130)
Probabilistic Model Building and Competent Genetic Programming (2003) (123)
FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action (1999) (121)
Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy (2003) (119)
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness (2005) (119)
The Crowding Approach to Niching in Genetic Algorithms (2008) (117)
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence (2000) (115)
Don't evaluate, inherit (2001) (115)
Decision making in a hybrid genetic algorithm (1997) (115)
Zen and the Art of Genetic Algorithms (1989) (115)
An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm (1987) (112)
Network Random KeysA Tree Representation Scheme for Genetic and Evolutionary Algorithms (2002) (112)
Linkage Identification by Non-monotonicity Detection for Overlapping Functions (1999) (111)
Scalability of the Bayesian optimization algorithm (2002) (110)
Multiobjective hBOA, clustering, and scalability (2005) (108)
Sufficient conditions for deceptive and easy binary functions (1994) (108)
The parameter-less genetic algorithm in practice (2004) (103)
Multi-objective bayesian optimization algorithm (2002) (100)
A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data (2001) (97)
A Genetic Algorithm for Developing Modular Product Architectures (2003) (97)
Time Complexity of genetic algorithms on exponentially scaled problems (2000) (96)
Genetic Algorithms, Clustering, and the Breaking of Symmetry (2000) (94)
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems (2005) (94)
Bayesian optimization algorithm, decision graphs, and Occam's razor (2001) (92)
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination (2009) (89)
A Genetic Algorithm for Parallel Simulated Annealing (1992) (88)
Search space boundary extension method in real-coded genetic algorithms (2001) (87)
Hierarchical Problem Solving and the Bayesian Optimization Algorithm (2000) (86)
Adaptive Hybrid Genetic Algorithm for Groundwater Remediation Design (2005) (86)
Adaptive hydrogenerator governor tuning with a genetic algorithm (1992) (86)
Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm (2003) (82)
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World (2004) (79)
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods (2004) (79)
On the Scalability of Parallel Genetic Algorithms (1999) (79)
Diploidy and Dominance in Artificial Genetic Search (1992) (77)
Philosophy and Engineering: Reflections on Practice, Principles and Process (2016) (77)
The Race, the Hurdle, and the Sweet Spot (1998) (76)
Adaptive Niching via coevolutionary Sharing (1997) (76)
Fitness Inheritance In Multi-objective Optimization (2002) (75)
Probability matching, the magnitude of reinforcement, and classifier system bidding (2004) (73)
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds (2008) (72)
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension (2007) (72)
A practical schema theorem for genetic algorithm design and tuning (2001) (70)
Linkage learning through probabilistic expression (2000) (70)
A Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms (2007) (70)
Optimal sampling in a noisy genetic algorithm for risk-based remediation design (2001) (69)
On the supply of building blocks (2001) (68)
Are Multiple Runs of Genetic Algorithms Better than One? (2003) (68)
Evolutionary Algorithm Using Marginal Histogram Models in Continuous Domain (2007) (67)
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS (2006) (66)
Multiobjective Estimation of Distribution Algorithms (2006) (65)
Multimodal Deceptive Functions (1993) (64)
Rule-based evolutionary online learning systems: learning bounds, classification, and prediction (2004) (64)
Ordering Genetic Algorithms and Deception (1992) (62)
Tournament Selection: Stable Fitness Pressure in XCS (2003) (61)
Design of microvascular flow networks using multi-objective genetic algorithms (2008) (60)
Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation (2004) (59)
Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming (1998) (59)
Influence of selection and replacement strategies on linkage learning in BOA (2007) (59)
Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms (1997) (58)
Using Previous Models to Bias Structural Learning in the Hierarchical BOA (2008) (58)
SGA-C: A C-language Implementation of a Simple Genetic Algorithm (1991) (58)
Facetwise Analysis of XCS for Problems With Class Imbalances (2009) (58)
Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding (1990) (55)
Towards billion-bit optimization via a parallel estimation of distribution algorithm (2007) (54)
Extending XCSF beyond linear approximation (2005) (53)
Genetic Algorithms as a Computational Theory of Conceptual Design (1991) (53)
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation (2006) (52)
Optimal Sampling For Genetic Algorithms (1996) (52)
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm (2006) (51)
A hierarchy machine: Learning to optimize from nature and humans (2003) (51)
Population sizing for entropy-based model building in discrete estimation of distribution algorithms (2007) (51)
Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach (2000) (51)
Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy (2004) (51)
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection (2005) (50)
The Theory of Virtual Alphabets (1990) (49)
Computer-aided pipeline operation using genetic algorithms and rule learning. PART I: Genetic algorithms in pipeline optimization (1987) (49)
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head (2004) (49)
The gambler''s ruin problem (1997) (48)
Dynamic System Control Using Rule Learning and Genetic Algorithms (1985) (48)
Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs (2000) (48)
A self adaptive hybrid genetic algorithm (2001) (48)
Genetic Algorithms and Rules Learning in Dynamic System Control (1985) (48)
Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem (1999) (47)
Compressed introns in a linkage learning genetic algorithm (1998) (47)
Accounting for Noise in the Sizing of Populations (1992) (46)
Limits of scalability of multiobjective estimation of distribution algorithms (2005) (46)
Combining competent crossover and mutation operators: a probabilistic model building approach (2005) (46)
A Whole New Engineer (2014) (45)
Evaluation relaxation using substructural information and linear estimation (2006) (45)
Computational Complexity of the XCS Classifier System (2005) (42)
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap (2009) (42)
BUILDING-BLOCK SUPPLY IN GENETIC PROGRAMMING (2003) (42)
Change in Engineering Education: One Myth, Two Scenarios, and Three Foci (1996) (42)
Mining directed social network from message board (2005) (41)
Spin-Flip Symmetry and Synchronization (2002) (41)
XCS with computed prediction for the learning of Boolean functions (2005) (40)
Sporadic model building for efficiency enhancement of the hierarchical BOA (2008) (40)
Simplex crossover and linkage identification: single-stage evolution vs. multi-stage evolution (2002) (40)
Military antenna design using simple and competent genetic algorithms (2006) (40)
Philosophy and Engineering (2010) (39)
SEARCH, Blackbox Optimization, And Sample Complexity (1996) (39)
From Twomax To The Ising Model: Easy And Hard Symmetrical Problems (2002) (39)
Genetic Algorithms: A Bibliography (1997) (39)
Modeling tournament selection with replacement using apparent added noise (2001) (39)
Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis (2013) (38)
An analysis of a reordering operator on a GA-hard problem (1990) (37)
Optimal hydrogenerator governor tuning with a genetic algorithm. Discussion (1992) (37)
Construction of high-order deceptive functions using low-order Walsh coefficients (1992) (37)
Genetic programming for multitimescale modeling (2004) (36)
XCS with computed prediction in continuous multistep environments (2005) (35)
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination (2005) (35)
Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule (2005) (35)
Classifier prediction based on tile coding (2006) (35)
Efficiency Enhancement of Estimation of Distribution Algorithms (2006) (34)
Model accuracy in the Bayesian optimization algorithm (2011) (34)
Bounding Learning Time in XCS (2004) (34)
MGA in C: A Messy Genetic Algorithm in C (1991) (34)
Predicting Speedups of Idealized Bounding Cases of Parallel Genetic Algorithms (1997) (34)
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert (2003) (33)
iBOA: the incremental bayesian optimization algorithm (2008) (33)
Designing Efficient Genetic and Evolutionary Algorithm Hybrids (2005) (32)
Bounding the Effect of Noise in Multiobjective Learning Classifier Systems (2003) (32)
A genetic algorithm using linkage identification by nonlinearity check (1999) (31)
Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection (2002) (31)
XCS with computed prediction in multistep environments (2005) (30)
First Cognitive Capabilities in the Anticipatory Classifier System (2000) (30)
Hierarchical BOA on random decomposable problems (2006) (30)
Philosophy and engineering : an emerging agenda (2010) (30)
The Missing Basics and Other Philosophical Reflections for the Transformation of Engineering Education (2010) (29)
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression (2006) (29)
OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys (2000) (29)
Sub-structural niching in estimation of distribution algorithms (2005) (29)
Investigating Generalization in the Anticipatory Classifier System (2000) (29)
Convergence Time for the Linkage Learning Genetic Algorithm (2004) (29)
The compact classifier system: scalability analysis and first results (2005) (29)
Generalized State Values in an Anticipatory Learning Classifier System (2003) (29)
Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies (2002) (28)
Loopy Substructural Local Search for the Bayesian Optimization Algorithm (2009) (28)
Scaling eCGA model building via data-intensive computing (2010) (28)
Two analysis tools to describe the operation of classifier systems (1989) (28)
A matrix approach for finding extrema: problems with modularity, hierarchy, and overlap (2006) (27)
Toward routine billion-variable optimization using genetic algorithms (2007) (27)
Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System Part 2: Performa (2000) (27)
Tree network design with genetic algorithms an investigation in the locality of the pruefernumber en (1999) (27)
Reinforcement learning with classifier systems: Adaptive default hierarchy formation (1992) (27)
Variable Default Hierarchy Separation in a Classifier System (1990) (26)
Scalability of a Hybrid Extended Compact Genetic Algorithm for Ground State Optimization of Clusters (2007) (26)
Analyzing active interactive genetic algorithms using visual analytics (2006) (25)
Resource management and scalability of the XCSF learning classifier system (2012) (25)
Building block superiority, multimodality and synchronization problems (2001) (24)
Probability-Enhanced Predictions in the Anticipatory Classifier System (2000) (24)
Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application (2003) (24)
How Fitness Structure Affects Subsolution Acquisition in Genetic Programming (1998) (23)
Bad Codings and the Utility of Well-Designed Genetic Algorithms (2000) (23)
Verification and extension of the theory of global-local hybrids (2001) (23)
An investigation of messy genetic algorithms (1990) (23)
Natural niching for evolving cooperative classifiers (1996) (22)
Evolutionary Computation As A Form Of Organization (2002) (22)
Extracted global structure makes local building block processing effective in XCS (2005) (22)
Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm (2004) (21)
Analysis of Mixing in Genetic Algorithms: A Survey (2002) (21)
Wise Breeding GA via Machine Learning Techniques for Function Optimization (2003) (21)
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity (2007) (21)
Design of Competent Genetic Algorithms (2002) (21)
Population Sizing for Entropy-based Model Building in Genetic Algorithms (2006) (21)
The Entrepreneurial Engineer (2006) (21)
The Nonuniform Walsh-Schema Transform (1990) (20)
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques (2007) (20)
Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm (2002) (20)
Enhancing the Efficiency of the ECGA (2008) (20)
When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing (2010) (20)
Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs (2003) (20)
Node Histogram vs . Edge Histogram : A Comparison of PMBGAs in Permutation Domains (2006) (20)
Combining Reliability and Pareto Optimality—An Approach Using Stochastic Multi-Objective Genetic Algorithms (2003) (20)
The Genetic Algorithm Approach: Why, How, and What Next? (1986) (20)
What Makes a Problem Hard for a Classifier System (1992) (19)
INNOVATION AND CREATIVITY SUPPORT VIA CHANCE DISCOVERY, GENETIC ALGORITHMS, AND DATA MINING (2006) (19)
Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments (2005) (19)
Reinforcement learning with classifier systems (1990) (19)
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms (2004) (18)
Optimization of Semiempirical Quantum Chemistry Methods via Multiobjective Genetic Algorithms: Accurate Photodynamics for Larger Molecules and Longer Time Scales (2007) (17)
Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency (2006) (17)
Computer-aided pipeline operation using genetic algorithms and rule learning. PART II: Rule learning control of a pipeline under normal and abnormal conditions (1987) (17)
Bounding the Population Size in XCS to Ensure Reproductive Opportunities (2003) (17)
The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms (2001) (17)
Population Sizing for Genetic Programming Based Upon Decision Making (2005) (17)
The Existential Pleasures of Genetic Algorithms the Existential Pleasures of Genetic Algorithms (1994) (17)
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms (2005) (17)
Real-coded Bayesian Optimization Algorithm (2006) (17)
Knowledge Extraction and Problem Structure Identification in XCS (2004) (17)
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms (2004) (16)
Frontiers of Evolutionary Computation (2004) (15)
Performance of Evolutionary Algorithms on Random Decomposable Problems (2006) (15)
The compact classifier system: motivation, analysis, and first results (2005) (15)
Modeling XCS in class imbalances: population size and parameter settings (2007) (15)
Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA) (2003) (14)
Efficient Discretization Scheduling In Multiple Dimensions (2002) (14)
Sub-structural Niching in Non-stationary Environments (2004) (14)
Effects of a deterministic hill climber on hBOA (2009) (14)
Multiobjective synthesis of electromagnetic devices using nondominated sorting genetic algorithms (1996) (14)
Online population size adjusting using noise and substructural measurements (2005) (14)
A new approach for multi-label classification based on default hierarchies and organizational learning (2008) (14)
The Making of A Whole New Engineer: Four Unexpected Lessons for Engineering Educators and Education Researchers (2015) (14)
Bounding the Population Size to Ensure Niche Support in XCS (2004) (14)
Modeling selection pressure in XCS for proportionate and tournament selection (2007) (13)
Fostering motivation as a class objective in a large engineering class for second-year students: a narrative approach (2014) (13)
Substructrual surrogates for learning decomposable classification problems: implementation and first results (2007) (13)
The - ary extended compact classifier system: Linkage learning in Pittsburgh LCS (2007) (12)
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making (2004) (12)
Creating Low-cost Intrinsic Motivation Course Conversions in a Large Required Engineering Course (2012) (12)
Efficient Genetic Algorithms Using Discretization Scheduling (2005) (12)
Research on the Bayesian Optimization Algorithm Research on the Bayesian Optimization Algorithm (12)
Genetic Programming for Multiscale Modeling (2004) (11)
Toward a Control Map for Niching (1998) (11)
Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms (2004) (11)
Genetic algorithms and Machine Learning (2004) (11)
Genetic and Evolutionary Algorithms in the Real World (1999) (11)
Gradient Descent Methods in Learning Classifier Systems (2004) (11)
Extending the class of order-k delineable problems for the gene expression messy genetic algorithm (1996) (11)
Life Skills and Leadership for Engineers (1994) (11)
Takeover Time in a Noisy Environment (1997) (11)
Signal, noise, and genetic algorithms (1991) (11)
A Timing Analysis of Convergence to Fitness Sharing Equilibrium (1998) (10)
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem (2003) (10)
Providing Collaborative Education with an International Dimension: An Ulster University and Pennsylvania State University Case Study (2015) (10)
Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm (2000) (10)
Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem (2003) (10)
Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems (2007) (10)
Binary rule encoding schemes: a study using the compact classifier system (2005) (10)
Tightness Time for the Linkage Learning Genetic Algorithm (2003) (10)
Designing efficient and accurate parallel genetic algorithms (parallel algorithms) (1999) (10)
Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models (2008) (10)
Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System (2008) (9)
Empirical analysis of generalization and learning in XCS with gradient descent (2007) (9)
Deceptive and Other Functions of Unitation as Bayesian Networks (1998) (9)
Sporadic model building for efficiency enhancement of hierarchical BOA (2006) (9)
Evaluation Consistency in iGAs: User Contradictions as Cycles in Partial-Ordering Graphs (2005) (9)
Inducing Sequentiality Using Grammatical Genetic Codes (2004) (9)
Sporadic Model Building for Efficiency Enhancement of hBOA Martin Pelikan (2005) (9)
Real-coded ECGA for solving decomposable real-valued optimization problems (2007) (9)
Military Antenna Design Using a Simple Genetic Algorithm and hBOA (2006) (9)
From Genetic and Evolutionary Optimization to the Design of Conceptual Machines (1998) (8)
Calculating Efficient Team Size: Balancing Deciding and Doing as an Elementary Optimization Problem (2004) (8)
How XCS deals with rarities in domains with continuous attributes (2010) (8)
Substructural Surrogates for Learning Decomposable Classification Problems (2008) (8)
Boolean Function Learning With A Classifier System (1988) (8)
A new method for linkage learning in the ECGA (2009) (8)
A Simple Real-Coded Extended Compact Genetic Algorithm (2007) (8)
Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability (2006) (8)
Creating an intrinsic-motivation-driven course design method (2013) (8)
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements (2007) (8)
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry (2006) (8)
Creating Scalable Reform in Engineering Education Through Low-Cost In- trinsic Motivation Course Conversions of Engineering Courses (2013) (7)
Multiple-objective Bayesian Optimization Algorithm (2002) (7)
Effective and Reliable Online Classification Combining XCS with EDA Mechanisms (2006) (7)
On the scalability of XCS(F) (2009) (7)
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems (2004) (7)
Designing a new elitist Nondominated Sorted Genetic Algorithm for a multiobjective long term groundwater monitoring application (2001) (7)
Simple adaptive control of a robot arm (1982) (7)
Towards Building Block Propagation in XCS: A Negative Result and Its Implications (2003) (6)
Toward a Mechanics of Conceptual Machines (1995) (6)
Why Philosophy? Why Now? Engineering Responds to the Crisis of a Creative Era (2009) (6)
How Well Does A Single-Point Crossover Mix Building Blocks with Tight Linkage? (2004) (6)
Monte Carlo Simulation of Dynamical Systems of Engineering Interest in a Massively Parallel Computing Environment: an Application of Genetic Algorithms (1996) (6)
Minimal Achievable Error in the LED problem (2002) (6)
Toward routine billion-variable optimization using genetic algorithms: Short Communication (2007) (6)
Delineating Topic and Discussant Transitions in Online Collaborative Environments (2007) (6)
The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results (2009) (6)
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances (2002) (6)
The intrinsic-motivation course design method (2017) (6)
Teamwork For A Quality Education: Low Cost, E Ective Educational Reform Through A Department Wide Competition Of Teams (1998) (6)
Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems (2002) (6)
Parallel Genetic Algorithms with Distributed Panmictic Populations (1999) (5)
Empirical analysis of ideal recombination on random decomposable problems (2007) (5)
Linkage Problem , Distribution Estimation , and Bayesian (1998) (5)
What Engineers Donʼt Learn and Why They Don Learn It: and How Philosophy Might Be Able to Help (2008) (5)
Improving the efficiency of the extended compact genetic algorithm (2008) (5)
Towards Billion Bit Optimization via Efficient Genetic Algorithms (2007) (5)
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage (2003) (5)
Communication Gap Management for Fertile Community (2007) (5)
A Multiscale Island Injection Genetic Algorithm for Optimal Groundwater Remediation Design (2002) (5)
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm (2004) (4)
Effect of Pure Error-Based Fitness in XCS (2005) (4)
Evolutionary Algorithm for Large Scale Problems (2007) (4)
Ifoundry: Engineering Curriculum Reform Without Tears (2008) (4)
XCS with Computable Prediction in Multistep Environments (2005) (4)
Solving permutation problems with the ordering messy genetic algorithm (2003) (4)
Efficient evaluation relaxation under integrated fitness functions (2001) (4)
Engineering Education Reform in a Large Research University: Strategies and Reflections on Innovation (2010) (4)
Human-Centered Analysis and Visualization Tools for the Blogosphere (2006) (4)
ClusterMI: Building Probabilistic Models Using Hierarchical Clustering and Mutual Information (2010) (4)
A hydroinformatician's approach to computational innovation and the design of genetic algorithms (2000) (4)
Efficient Evaluation Genetic Algorithms under Integrated Fitness Functions (2001) (4)
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values (2002) (4)
Mining Social Networks in Message Boards (2005) (4)
Analysis and evaluation of learning classifier systems applied to hyperspectral image classification (2005) (4)
Linkage Learning Accuracy in the Bayesian Optimization Algorithm (2008) (3)
Binary Representation in Gene Expression Programming: Towards a Better Scalability (2009) (3)
Can modern educational technology replace the teacher in the classroom (1978) (3)
Fluctuating crosstalk, deterministic noise, and GA scalability (2006) (3)
Solving Sequence Problems by Building and Sampling Edge Histograms (2002) (3)
Genetic Algorithms and Innovation (2002) (3)
Simplex crossover and linkage learning in real-coded GAs (2001) (3)
Modeling of evolution of signaling networks in living cells by evolutionary computation (2001) (3)
Tackling multimodal problems in hybrid genetic algorithms (2001) (3)
Discovering Chance Scenarios using Small-World KeyGraphs and Evolutionary Computation (2004) (3)
Chances and Marketing: On-line Conversation Analysis for Creative Scenario Discussion (2004) (3)
On the Homogenization of Data from Two Laboratories Using Genetic Programming (2009) (3)
Optimal settings for a hybrid genetic algorithm applied to a groundwater remediation problem (2001) (3)
An overview of the parameter-less genetic algorithm (3)
Engineering rigor and its discontents: Philosophical reflection as curative to math-physics envy. (2009) (2)
Verification of the theory of genetic algorithm continuation (2001) (2)
The Design of Innovating Machines: A Fundamental Discipline for a Postmodern Systems Engineering (2002) (2)
Is Engineering Philosophically Weak? A Linguistic and Institutional Analysis (2009) (2)
Write for Your Life (2005) (2)
Vanadium(II) Sulfate (2007) (2)
Polynomial complexity blackbox search: lessons from the SEARCH framework (1996) (2)
Genetic Algorithms, Tournament Selection, and the Eeects of Noise Genetic Algorithms, Tournament Selection, and the Eeects of Noise (2007) (2)
Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble (2008) (2)
Students As The Key To Unleashing Student Engagement: The Theory, Design, & Launch Of A Scalable, Student Run Learning Community At Xx (2010) (2)
2 Learning Classifier Systems for Hyperspectral Images Processing (2004) (2)
A Design Approach to Problem Difficulty (2002) (2)
The First-to-Fourth Flatline: Assessing Undergraduate Students' Creative Capacity (2011) (2)
Introducing a Genetic Generalization Pressure to the Anticipatory Classiier System Part 2: Performance Analysis Introducing a Genetic Generalization Pressure to the Anticipatory Classiier System Part 2: Performance Analysis (2007) (2)
Evolvable Modeling: structural adaptation through hierarchical evolution for 3-D model-based vision* (1993) (2)
Improving small population performance under noise with viral infection + tropism (2008) (2)
Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools (2007) (2)
SIMPLIFYING MULTIOBJECTIVE OPTIMIZATION USING GENETIC ALGORITHMS (2003) (2)
The Retreats of Reconstruction (2020) (2)
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 (2002) (2)
Competent Probabilistic Model Building Genetic Algorithms (2003) (1)
Special session — A war of words: Using sticky language to effect change in engineering education (2010) (1)
The Complex Network of Evolutionary Computation Authors: an Initial Study (2005) (1)
New Challenges for an Anticipatory Classiier System: Hard Problems and Possible Solutions New Challenges for an Anticipatory Classiier System: Hard Problems and Possible Solutions (2007) (1)
The mGA1.0: A common LISP implementation of a messy genetic algorithm (1990) (1)
/ DERUDWRLUH GHV 6 FLHQFHV GH O , PDJH GH O , QIRUPDWLTXH HW GH OD 7 pOpGpWHFWLRQ & 156 805 Learning Classifier Systems for Hyperspectral Image Processing (2004) (1)
PAC Learning in XCS (2004) (1)
Local Search Issues for the Application of a Self-Adaptive Hybrid Genetic Algorithm in Groundwater Remediation Design (2003) (1)
Incorporating User Feedback into Name Disambiguation of Scientific Cooperation Network (2011) (1)
3 Lessons of Genetic Algorithms for Computational Innovation (1999) (1)
Is Engineering Philosophically Weak (2013) (1)
The Joy of Engineering (2005) (1)
A Fitness Inheritance Evolutionary Algorithm for Solving Bi-criteria Flexible Process Sequencing Problems (2007) (1)
Discovering Building Blocks for Human Based Genetic Algorithms (2007) (1)
Making Genetic Algorithms Fly (2002) (1)
Vanadium(II) Hydroxide (2007) (1)
Message Feature Map toward Effective Facilitation on On-line Discussions (2007) (1)
Efficient use of a genetic algorithm for long-term groundwater monitoring design (2000) (1)
Genetic algorithms and the vVariance of fitness (2017) (1)
Genetic Algorithm Di culty and the Modality ofFitness (1994) (1)
From Competence to Efficiency: A Tale of GA Progress (1996) (1)
The Six Minds of a Whole New Engineer (2015) (1)
Entrepreneurial Engineer: Ready for the 21st Century (2005) (1)
Facilitation Support for On-Line Focus Group Discussions by Message Feature Map (2008) (1)
First Flights at Genetic-algorithm Kitty Hawk First Flights at Genetic-algorithm Kitty Hawk (1994) (1)
Aalborg Universitet Dynamic Uniform Scaling for Multiobjective Genetic Algorithms (0)
The Emotional Rescue of Engineering Education (2010) (0)
Goals and Elements of GA Design (2002) (0)
Domino Convergence , Drift , and theTemporal-Salience Structure of (1998) (0)
Quality-time analysis of multi-objective evolutionary algorithms (2005) (0)
Making Time for Building Blocks (2002) (0)
Three Tools of Conceptual Engineering (2002) (0)
Opening Plenary--Keynote Address (Alumni Center Assembly Hall) A Practical, Comprehensive Decomposition of the Forces, Foci, and Processes for Engineering Education Transformation (2014) (0)
Supermultiplicative Speedups of Probabilistic Model-Building Genetic Algorithms (2009) (0)
Genetic Algorithm-Based Searching Method for Piping Path Routing in Coal-Fired Boiler Buildings (2011) (0)
Automatic Fault Identification of a Mechanical System using Genetic Algorithm (2018) (0)
An Adaptive Hybrid Genetic Algorithm for Improved Groundwater Remediation Design (2001) (0)
Congratulations to Japanese Society for Evolutionary Computation (2011) (0)
The importance of pairwork in interdisciplinary and educational initiatives (2009) (0)
Enhancing Command Communications and Innovation with SAINT:Semantics, Adaptation, and Influence in Networked Teams (2009) (0)
Eeciency Enhancement of Probabilistic Model Building Genetic Algorithms Eeciency Enhancement of Probabilistic Model Building Genetic Algorithms (0)
Tightness Timefor the Linkage Learning (2007) (0)
TheCompact Classifier System: Scalability Analysis andFirst Results (2005) (0)
Ensuring Building Block Growth (2002) (0)
Automatic Fault Identification of a Mechanical System using Genetic Algorithm (2018) (0)
Compact genetic algorithm: A litmus test for genetic algorithm applicability (2000) (0)
Where there's hope. (1998) (0)
Getting Organized and Finding Time (2005) (0)
Methode d'optimisation d'un ensemble de solutions (2002) (0)
Comparative Study of Genetic Algorithm Performed in a Single Generation for two Different Fitness Functions Technique f(x) = x^2 and f(x) = x^2+1 (2016) (0)
The Design, Implementation, Application, and Dissemination of an Evolving Expression-Linkage Genetic Algorithms (2000) (0)
Teching PL/I using a microcomputer (1986) (0)
Application of evolutionary algorithms and neural network concepts to the design of low-cost, wideband antenna arrays (2007) (0)
Organizations and Leadership (2005) (0)
Eecient Parallel Genetic Algorithms: Theory and Practice (2000) (0)
Speeding online synthesis via enforced selecto-recombination (2008) (0)
Little Models, Big Results (2005) (0)
Ethics in Matters Small, Large, and Engineering (2005) (0)
Hierarchical Classiflcation Problems Demand Efiective Building Block Identiflcation and Processing in LCSs (2004) (0)
Blackbox Optimization , And Sample Complexity (2008) (0)
Performance Analyses of Factorization Based on Gaussian PDF In rECGA (2007) (0)
Schaum's outline of theory and problems of assembly language (1987) (0)
3 Lessons I Learned from John H. Holland (2016) (0)
An Engineering Exorcise (Case 1011) (2003) (0)
Diting : An Author Disambiguation method based on Network Representation Learning (2019) (0)
Real-Coded Extended Compact Genetic Algorithm (2007) (0)
Schaum's Outline of Theory and Problems of Programming with Assembly Language (1988) (0)
Money, Work, and You (2005) (0)
Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation (2000) (0)
From Theory to Air Force Practice: Applications and Non-Binary Extensions of Probabilistic Model-Building Genetic Algorithms (2006) (0)
The Anticipatory Classiier System and Genetic Generalization the Anticipatory Classiier System and Genetic Generalization (2007) (0)
Human Side of Engineering (2005) (0)
Investigating Generalization in the Anticipatory Classiier System Investigating Generalization in the Anticipatory Classiier System (2007) (0)
Analysis and Improvement of Fitness Exploitation in XCS : Bounding Models , Tournament Sele tion , and Bilateral A ura yMartin (2003) (0)
Rapid Solutions to Hard Problems Using Fast Messy Genetic Algorithms (1997) (0)
Offer from Another Engineer, Engineering Ethics Skit (2009) (0)
Not your grandmother's genetic algorithm (2009) (0)
Epilogue: From Competence to Efficiency and Beyond (2002) (0)
Key Elements Extraction in Online Collaborative Environments (2007) (0)
An Evolutionary Approach to Allocate Frequency in Cellular Telephone System (2020) (0)
DOUBLE DUTY: GENETIC ALGORITHMS FOR ORGANIZATIONAL DESIGN AND GENETIC ALGORITHMS INSPIRED BY ORGANIZATIONAL THEORY (2005) (0)
The importance of pairwork in educational and interdisciplinary initiatives (2009) (0)
The innovation pump: supporting creative processes in collaborative engineering (2009) (0)
Introducing a Genetic Generalization Pressure to the Anticipatory Classiier System Part 1: Theoretical Approach Introducing a Genetic Generalization Pressure to the Anticipatory Classiier System Part 1: Theoretical Approach (2007) (0)
News and notes (2004) (0)
Ensuring Building Block Supply (2002) (0)
Foreword (2003) (0)
XCSwithComputed Prediction fortheLearning ofBoolean Functions (2005) (0)
Communication Gaps in Social Networks (2005) (0)
Introdu ing Start Expression Genes to theLinkage Learning (2002) (0)
Assessing Technology Opportunities (2005) (0)
Mixing, Control Maps, and Genetic Algorithm Success (2002) (0)
Present, Don't Speak (2005) (0)
The Everyday Engineering of Organizational and Engineering Innovation (2004) (0)

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