140	Genetic Algorithms in Search Optimization and Machine Learning
2912	Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs
39156	Generalized State Values in an Anticipatory Learning Classifier System
59459	Little Models, Big Results
59889	Sub-structural Niching in Non-stationary Environments
194167	Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming
199384	Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability
212439	Variable Default Hierarchy Separation in a Classifier System
212456	The Nonuniform Walsh-Schema Transform
212470	Analyzing Deception in Trap Functions
212484	A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
212486	Accounting for Noise in the Sizing of Populations
212496	Learning Linkage
212505	Genetic Algorithm Difficulty and the Modality of Fitness Landscapes
212507	Toward a Control Map for Niching
212523	SEARCH, Blackbox Optimization, And Sample Complexity
225406	Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
225422	Efficient Discretization Scheduling In Multiple Dimensions
225559	Bounding the Population Size in XCS to Ensure Reproductive Opportunities
225561	Bounding Learning Time in XCS
225563	Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
225565	Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach
225583	Extracted global structure makes local building block processing effective in XCS
225585	Tournament Selection: Stable Fitness Pressure in XCS
225620	Are Multiple Runs of Genetic Algorithms Better than One?
225659	An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
225660	Tightness Time for the Linkage Learning Genetic Algorithm
225661	Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
225662	Fitness Inheritance In Multi-objective Optimization
225664	Quality-time analysis of multi-objective evolutionary algorithms
225863	Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA)
225974	Using Time Efficiently: Genetic-Evolutionary Algorithms and the Continuation Problem
225975	Optimizing Global-Local Search Hybrids
226121	From Twomax To The Ising Model: Easy And Hard Symmetrical Problems
226253	Multiple-objective Bayesian Optimization Algorithm
226307	Extending XCSF beyond linear approximation
226309	XCS with computed prediction in multistep environments
226311	Classifier prediction based on tile coding
226312	OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys
226313	Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
226343	Evolutionary Computation As A Form Of Organization
226420	Combining competent crossover and mutation operators: a probabilistic model building approach
226434	Wise Breeding GA via Machine Learning Techniques for Function Optimization
226436	Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
226438	Analyzing active interactive genetic algorithms using visual analytics
226439	The compact classifier system: motivation, analysis, and first results
226440	Binary rule encoding schemes: a study using the compact classifier system
226441	Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
226445	Time Complexity of genetic algorithms on exponentially scaled problems
226518	Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms
226519	Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm
226542	Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression
226642	Inducing Sequentiality Using Grammatical Genetic Codes
226694	Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
226696	Hierarchical Problem Solving and the Bayesian Optimization Algorithm
226697	Hierarchical BOA Solves Ising Spin Glasses and MAXSAT
226698	Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence
226699	Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies
226704	Hierarchical BOA on random decomposable problems
226705	Multiobjective hBOA, clustering, and scalability
226706	Sporadic model building for efficiency enhancement of hierarchical BOA
226808	Bad Codings and the Utility of Well-Designed Genetic Algorithms
226837	Sub-structural niching in estimation of distribution algorithms
226838	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances
226839	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values
226840	Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage
226841	Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods
226842	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head
226843	Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
226844	Evaluation relaxation using substructural information and linear estimation
226924	Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems
226925	Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems
227037	Towards Building Block Propagation in XCS: A Negative Result and Its Implications
227167	Fluctuating crosstalk, deterministic noise, and GA scalability
227224	Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm
227225	Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem
227230	Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination
227263	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
227268	Empirical analysis of ideal recombination on random decomposable problems
227374	Modeling XCS in class imbalances: population size and parameter settings
227519	Modeling selection pressure in XCS for proportionate and tournament selection
227536	Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems
227585	Towards billion-bit optimization via a parallel estimation of distribution algorithm
227657	Substructrual surrogates for learning decomposable classification problems: implementation and first results
227665	Empirical analysis of generalization and learning in XCS with gradient descent
227668	Population sizing for entropy-based model building in discrete estimation of distribution algorithms
227775	Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble
227956	Improving the efficiency of the extended compact genetic algorithm
227962	Speeding online synthesis via enforced selecto-recombination
227978	Improving small population performance under noise with viral infection + tropism
228049	iBOA: the incremental bayesian optimization algorithm
228099	Using previous models to bias structural learning in the hierarchical BOA
228125	A new approach for multi-label classification based on default hierarchies and organizational learning
304881	A Niched Pareto Genetic Algorithm for Multiobjective Optimization
304936	Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework
305090	Elitist Recombination: An Integrated Selection Recombination GA
307748	Delineating Topic and Discussant Transitions in Online Collaborative Environments
308199	Facilitation Support for On-Line Focus Group Discussions by Message Feature Map
308480	Key Elements Extraction in Online Collaborative Environments
310485	Genetic Algorithms and Rules Learning in Dynamic System Control
310486	Sizing Populations for Serial and Parallel Genetic Algorithms
310487	Zen and the Art of Genetic Algorithms
310488	Don't Worry, Be Messy
310489	RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
310496	Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms
310554	An Investigation of Niche and Species Formation in Genetic Function Optimization
310585	An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm
310619	AllelesLociand the Traveling Salesman Problem
310621	Genetic Algorithms with Sharing for Multimodalfunction Optimization
310625	Finite Markov Chain Analysis of Genetic Algorithms
310626	Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy
310702	Genetic Algorithms and Computer-Assisted Music Composition
310863	Takeover Time in a Noisy Environment
310923	Mixing in Genetic Algorithms
310967	A Critical Review of Classifier Systems
388642	Dynamic System Control Using Rule Learning and Genetic Algorithms
434199	Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification
463476	What Is a Learning Classifier System?
463491	Substructural Surrogates for Learning Decomposable Classification Problems
463505	Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System
464952	Probability-Enhanced Predictions in the Anticipatory Classifier System
464974	Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection
464992	Binary Rule Encoding Schemes: A Study Using the Compact Classifier System
464996	Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule
464999	Effect of Pure Error-Based Fitness in XCS
547425	Multiple-Deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application
549808	Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy
549819	Investigating Generalization in the Anticipatory Classifier System
549821	Knowledge Extraction and Problem Structure Identification in XCS
549847	Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm
550015	The Theory of Virtual Alphabets
550017	Massive Multimodality, Deception, and Genetic Algorithms
550032	Ordering Genetic Algorithms and Deception
550056	A Timing Analysis of Convergence to Fitness Sharing Equilibrium
550058	Long Path Problems
550067	Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm
550168	Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm
550199	A Genetic Algorithm for Parallel Simulated Annealing
550264	Genetic Algorithms, Clustering, and the Breaking of Symmetry
550268	Performance of Evolutionary Algorithms on Random Decomposable Problems
550354	Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs
550395	Convergence Models of Genetic Algorithm Selection Schemes
550590	Enhancing the Efficiency of the ECGA
674430	Mining directed social network from message board
696891	Online population size adjusting using noise and substructural measurements
696924	Limits of scalability of multiobjective estimation of distribution algorithms
696928	The compact classifier system: scalability analysis and first results
697031	XCS with computed prediction in continuous multistep environments
697097	XCS with computed prediction for the learning of Boolean functions
697632	Influence of selection and replacement strategies on linkage learning in BOA
697703	A Simple Real-Coded Extended Compact Genetic Algorithm
721922	Communication Gaps in Social Networks
738354	Reinforcement learning with classifier systems: Adaptive default hierarchy formation
744392	Classifier Systems and Genetic Algorithms
751603	Sufficient Conditions for Deceptive and Easy Binary Functions
751643	Construction of High-Order Deceptive Functions Using Low-Order Walsh Coefficients
772242	Genetic and Evolutionary Algorithms Come of Age
818764	Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
818765	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head
818766	Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods
818767	Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation
822174	Population Sizing for Genetic Programming Based Upon Decision Making
822175	Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments
822176	Sub-Structural Niching in Non-Stationary Environments
822177	Sub-structural Niching in Estimation of Distribution Algorithms
822188	Multiobjective hBOA, Clustering, and Scalability
822211	Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
825988	iBOA: The Incremental Bayesian Optimization Algorithm
860723	Implicit Niching in a Learning Classifier System: Nature's Way
860729	Spin-Flip Symmetry and Synchronization
860770	Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy
860772	On the Scalability of Parallel Genetic Algorithms
860776	The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations
860779	Bounding the effect of noise in Multiobjective Learning Classifier Systems
860814	Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise
860834	Linkage Identification by Non-monotonicity Detection for Overlapping Functions
860857	Linkage Problem, Distribution Estimation, and Bayesian Networks
860874	Redundant Representations in Evolutionary Computation
860875	Efficient Genetic Algorithms Using Discretization Scheduling
860876	Network Random Keys-A Tree Representation Scheme for Genetic and Evolutionary Algorithms
860896	FOX-GA: A Genetic Algorithm for Generating and Analyzing Battlefield Courses of Action
860945	Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
860957	Convergence Time for the Linkage Learning Genetic Algorithm
860961	Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension
861023	The Crowding Approach to Niching in Genetic Algorithms
884949	Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection
885080	Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity
885090	Sporadic model building for efficiency enhancement of the hierarchical BOA
903948	Scalability of the Bayesian optimization algorithm
941057	The parameter-less genetic algorithm in practice
941480	Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert
941984	Search space boundary extension method in real-coded genetic algorithms
1009462	Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding
1009466	Genetic Algorithms and Machine Learning
1035085	Parallel Recombinative Simulated Annealing: A Genetic Algorithm
1069982	Communication Gap Management for Fertile Community
1098153	Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems
1098196	The compact genetic algorithm
1098310	Genetic Programming 1998: Proceedings of the Third Annual Conference
1171808	A hierarchy machine: Learning to optimize from nature and humans
1171994	Toward routine billion-variable optimization using genetic algorithms
1201123	Hierarchical Bayesian Optimization Algorithm
1201125	Effective and Reliable Online Classification Combining XCS with EDA Mechanisms
1201128	Efficiency Enhancement of Estimation of Distribution Algorithms
1201130	Military Antenna Design Using a Simple Genetic Algorithm and hBOA
1201131	Multiobjective Estimation of Distribution Algorithms
1201349	Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements
1202190	Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems
1202224	Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models
1202285	Linkage Learning Accuracy in the Bayesian Optimization Algorithm
1203564	Genetic Algorithms in Search Optimization and Machine Learning
1207690	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap
1207721	On the scalability of XCS(F)
1207801	A new method for linkage learning in the ECGA
1207867	Effects of a deterministic hill climber on hBOA
1207918	Binary representation in gene expression programming: towards a better scalability
1207935	The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results
1234869	Genetic Algorithms in Search Optimization and Machine Learning
1259161	Loopy Substructural Local Search for the Bayesian Optimization Algorithm
1321018	Binary Representation in Gene Expression Programming: Towards a Better Scalability.
1321104	Scaling Genetic Algorithms Using MapReduce.
1353665	Toward routine billion-variable optimization using genetic algorithms: Short Communication
1444143	Genetic algorithms with sharing for multimodal function optimization
1469469	Nonstationary function optimization using genetic algorithm with dominance and diploidy
1474564	Two analysis tools to describe the operation of classifier systems
1488959	Solving permutation problems with the ordering messy genetic algorithm
1575131	Teching PL/I using a microcomputer
1578543	Performance Analyses of Factorization Based on Gaussian PDF In rECGA
1586656	Evolutionary Algorithm for Large Scale Problems
1588526	What Is a Learning Classifier System?
1588786	AllelesLociand the Traveling Salesman Problem
