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Genetic and Evolutionary Computation – GECCO 2004 : Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I

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Cover of 'Genetic and Evolutionary Computation – GECCO 2004 : Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient Evaluation Functions for Multi-rover Systems
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    Chapter 2 A Particle Swarm Model of Organizational Adaptation
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    Chapter 3 Finding Maximum Cliques with Distributed Ants
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    Chapter 4 Ant System for the k -Cardinality Tree Problem
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    Chapter 5 A Hybrid Ant Colony Optimisation Technique for Dynamic Vehicle Routing
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    Chapter 6 Cooperative Problem Solving Using an Agent-Based Market
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    Chapter 7 Cultural Evolution for Sequential Decision Tasks: Evolving Tic–Tac–Toe Players in Multi–agent Systems
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    Chapter 8 Artificial Life and Natural Intelligence
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    Chapter 9 Bluenome: A Novel Developmental Model of Artificial Morphogenesis
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    Chapter 10 Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
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    Chapter 11 Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
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    Chapter 12 Evolving a Self-Repairing, Self-Regulating, French Flag Organism
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    Chapter 13 The Kalman Swarm
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    Chapter 14 Adaptive and Evolvable Network Services
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    Chapter 15 Grammatical Swarm
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    Chapter 16 Genetic and Evolutionary Computation – GECCO 2004
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    Chapter 17 An Interactive Artificial Ant Approach to Non-photorealistic Rendering
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    Chapter 18 Automatic Creation of Team-Control Plans Using an Assignment Branch in Genetic Programming
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    Chapter 19 Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming
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    Chapter 20 Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
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    Chapter 21 SWAF: Swarm Algorithm Framework for Numerical Optimization
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    Chapter 22 Autonomous Agent for Multi-objective Optimization
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    Chapter 23 An Evolved Autonomous Controller for Satellite Task Scheduling
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    Chapter 24 Multi-agent Foreign Exchange Market Modelling Via GP
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    Chapter 25 An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
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    Chapter 26 Arguments for ACO’s Success
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    Chapter 27 Solving Engineering Design Problems by Social Cognitive Optimization
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    Chapter 28 Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
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    Chapter 29 Constructing Detectors in Schema Complementary Space for Anomaly Detection
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    Chapter 30 Real-Valued Negative Selection Algorithm with Variable-Sized Detectors
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    Chapter 31 An Investigation of R-Chunk Detector Generation on Higher Alphabets
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    Chapter 32 A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation
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    Chapter 33 A Novel Immune Feedback Control Algorithm and Its Applications
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    Chapter 34 Computer-Aided Peptide Evolution for Virtual Drug Design
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    Chapter 35 Automating Genetic Network Inference with Minimal Physical Experimentation Using Coevolution
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    Chapter 36 A Genetic Approach for Gene Selection on Microarray Expression Data
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    Chapter 37 Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
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    Chapter 38 Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem
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    Chapter 39 A GA Approach to the Definition of Regulatory Signals in Genomic Sequences
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    Chapter 40 Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution
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    Chapter 41 Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems
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    Chapter 42 Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm
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    Chapter 43 GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation
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    Chapter 44 Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
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    Chapter 45 Evolving Better Multiple Sequence Alignments
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    Chapter 46 Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
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    Chapter 47 Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks
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    Chapter 48 An Evolutionary Approach with Pharmacophore-Based Scoring Functions for Virtual Database Screening
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    Chapter 49 Statistical Test-Based Evolutionary Segmentation of Yeast Genome
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    Chapter 50 Equilibrium and Extinction in a Trisexual Diploid Mating System: An Investigation
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    Chapter 51 On Parameterizing Models of Antigen-Antibody Binding Dynamics on Surfaces – A Genetic Algorithm Approach and the Need for Speed
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    Chapter 52 Is the Predicted ESS in the Sequential Assessment Game Evolvable?
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    Chapter 53 Automated Extraction of Problem Structure
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    Chapter 54 Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering
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    Chapter 55 The Incremental Pareto-Coevolution Archive
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    Chapter 56 A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting
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    Chapter 57 Predicting Genetic Drift in 2×2 Games
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    Chapter 58 Similarities Between Co-evolution and Learning Classifier Systems and Their Applications
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    Chapter 59 A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization
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    Chapter 60 A Population-Differential Method of Monitoring Success and Failure in Coevolution
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    Chapter 61 Cooperative Coevolution Fusion for Moving Object Detection
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    Chapter 62 Learning to Acquire Autonomous Behavior-Cooperation by Humanoid Robots
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    Chapter 63 Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network
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    Chapter 64 Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
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    Chapter 65 Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
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    Chapter 66 Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms
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    Chapter 67 On the Complexity to Approach Optimum Solutions by Inhomogeneous Markov Chains
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    Chapter 68 Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models
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    Chapter 69 Convergence Examples of a Filter-Based Evolutionary Algorithm
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    Chapter 70 Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
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    Chapter 71 Genetic and Evolutionary Computation – GECCO 2004
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    Chapter 72 An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy
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    Chapter 73 Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
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    Chapter 74 An Evolution Strategy Using a Continuous Version of the Gray-Code Neighbourhood Distribution
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    Chapter 75 A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large Number of Parameters
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    Chapter 76 On the Choice of the Population Size
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    Chapter 77 An Analysis of the ( μ +1) EA on Simple Pseudo-Boolean Functions
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    Chapter 78 Program Evolution by Integrating EDP and GP
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    Chapter 79 A Step Size Preserving Directed Mutation Operator
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    Chapter 80 A Comparison of Several Algorithms and Representations for Single Objective Optimization
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    Chapter 81 Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
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    Chapter 82 High Temperature Experiments for Circuit Self-Recovery
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    Chapter 83 The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment
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    Chapter 84 A Reconfigurable Chip for Evolvable Hardware
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    Chapter 85 Experimental Evaluation of Discretization Schemes for Rule Induction
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    Chapter 86 Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
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    Chapter 87 Training Neural Networks with GA Hybrid Algorithms
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    Chapter 88 Growth Curves and Takeover Time in Distributed Evolutionary Algorithms
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    Chapter 89 Simultaneity Matrix for Solving Hierarchically Decomposable Functions
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    Chapter 90 Metaheuristics for Natural Language Tagging
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    Chapter 91 An Effective Real-Parameter Genetic Algorithm with Parent Centric Normal Crossover for Multimodal Optimisation
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    Chapter 92 Looking Under the EA Hood with Price’s Equation
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    Chapter 93 Distribution of Evolutionary Algorithms in Heterogeneous Networks
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    Chapter 94 A Statistical Model of GA Dynamics for the OneMax Problem
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    Chapter 95 Adaptive Sampling for Noisy Problems
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    Chapter 96 Feature Subset Selection, Class Separability, and Genetic Algorithms
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    Chapter 97 Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
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    Chapter 98 Interactive One-Max Problem Allows to Compare the Performance of Interactive and Human-Based Genetic Algorithms
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    Chapter 99 Polynomial Approximation of Survival Probabilities Under Multi-point Crossover
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    Chapter 100 Evolving Genotype to Phenotype Mappings with a Multiple-Chromosome Genetic Algorithm
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    Chapter 101 What Basis for Genetic Dynamics?
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    Chapter 102 Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems
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    Chapter 103 Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
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    Chapter 104 Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm
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    Chapter 105 Using a Genetic Algorithm to Design and Improve Storage Area Network Architectures
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    Chapter 106 Distributed Constraint Satisfaction, Restricted Recombination, and Hybrid Genetic Search
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    Chapter 107 Analysis of the (1 + 1) EA for a Noisy OneMax
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    Chapter 108 A Polynomial Upper Bound for a Mutation-Based Algorithm on the Two-Dimensional Ising Model
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    Chapter 109 The Ising Model on the Ring: Mutation Versus Recombination
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    Chapter 110 Effects of Module Encapsulation in Repetitively Modular Genotypes on the Search Space
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    Chapter 111 Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms
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    Chapter 112 Evolution of Fuzzy Rule Based Classifiers
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    Chapter 113 Self Adaptation of Operator Rates in Evolutionary Algorithms
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    Chapter 114 PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
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    Chapter 115 Improving the Locality Properties of Binary Representations
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    Chapter 116 Schema Disruption in Chromosomes That Are Structured as Binary Trees
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    Chapter 117 The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1
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    Chapter 118 Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
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    Chapter 119 A Systematic Study of Genetic Algorithms with Genotype Editing
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    Chapter 120 Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
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    Chapter 121 Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization
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    Chapter 122 Encoding Bounded-Diameter Spanning Trees with Permutations and with Random Keys
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    Chapter 123 Three Evolutionary Codings of Rectilinear Steiner Arborescences
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    Chapter 124 Central Point Crossover for Neuro-genetic Hybrids
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    Chapter 125 Combining a Memetic Algorithm with Integer Programming to Solve the Prize-Collecting Steiner Tree Problem
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    Chapter 126 On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA
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    Chapter 127 Parameter-Less Optimization with the Extended Compact Genetic Algorithm and Iterated Local Search
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    Chapter 128 Comparing Search Algorithms for the Temperature Inversion Problem
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    Chapter 129 Inequality’s Arrow: The Role of Greed and Order in Genetic Algorithms
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    Chapter 130 Trap Avoidance in Strategic Computer Game Playing with Case Injected Genetic Algorithms
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    Chapter 131 Genetic and Evolutionary Computation – GECCO 2004
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    Chapter 132 Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm
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    Chapter 133 Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
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    Chapter 134 Genetic and Evolutionary Computation – GECCO 2004
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    Chapter 135 Inducing Sequentiality Using Grammatical Genetic Codes
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Title
Genetic and Evolutionary Computation – GECCO 2004 : Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I
Published by
Springer Science & Business Media, October 2004
DOI 10.1007/b98643
ISBNs
978-3-54-022344-3, 978-3-54-024854-5
Editors

Deb, Kalyanmoy

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Italy 1 1%
United Kingdom 1 1%
United States 1 1%
Iran, Islamic Republic of 1 1%
Czechia 1 1%
Netherlands 1 1%
Unknown 62 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 32%
Student > Master 21 30%
Researcher 8 12%
Student > Bachelor 6 9%
Unspecified 5 7%
Other 7 10%
Readers by discipline Count As %
Computer Science 37 54%
Engineering 17 25%
Unspecified 7 10%
Business, Management and Accounting 3 4%
Agricultural and Biological Sciences 2 3%
Other 3 4%