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

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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 II'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 PID Controller Tuning for Stable and Unstable Processes Applying GA
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    Chapter 2 Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
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    Chapter 3 Parameter-Less Hierarchical BOA
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    Chapter 4 Computational Complexity and Simulation of Rare Events of Ising Spin Glasses
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    Chapter 5 Fitness Inheritance in the Bayesian Optimization Algorithm
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    Chapter 6 Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
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    Chapter 7 Evolving Reusable Neural Modules
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    Chapter 8 How Are We Doing? Predicting Evolutionary Algorithm Performance
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    Chapter 9 Introduction of a New Selection Parameter in Genetic Algorithm for Constrained Reliability Design Problems
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    Chapter 10 Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
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    Chapter 11 Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods
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    Chapter 12 Let’s Get Ready to Rumble: Crossover Versus Mutation Head to Head
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    Chapter 13 Classification with Scaled Genetic Algorithms in a Coevolutionary Setting
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    Chapter 14 New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables
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    Chapter 15 Clustering with Niching Genetic K-means Algorithm
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    Chapter 16 A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System
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    Chapter 17 Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions
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    Chapter 18 Winnowing Wheat from Chaff: The Chunking GA
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    Chapter 19 An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
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    Chapter 20 Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms
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    Chapter 21 Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover
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    Chapter 22 Modeling Dependencies of Loci with String Classification According to Fitness Differences
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    Chapter 23 The Edge-Set Encoding Revisited: On the Bias of a Direct Representation for Trees
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    Chapter 24 A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
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    Chapter 25 Subthreshold-Seeking Behavior and Robust Local Search
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    Chapter 26 Ruffled by Ridges: How Evolutionary Algorithms Can Fail
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    Chapter 27 Non-stationary Subtasks Can Improve Diversity in Stationary Tasks
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    Chapter 28 The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA
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    Chapter 29 Bistability of the Needle Function in the Presence of Truncation Selection
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    Chapter 30 An Estimation of Distribution Algorithm Based on Maximum Entropy
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    Chapter 31 Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm
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    Chapter 32 Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms
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    Chapter 33 Sexual and Asexual Paradigms in Evolution: The Implications for Genetic Algorithms
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    Chapter 34 Mutation Rates in the Context of Hybrid Genetic Algorithms
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    Chapter 35 Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
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    Chapter 36 Comparative Molecular Binding Energy Analysis of HIV-1 Protease Inhibitors Using Genetic Algorithm-Based Partial Least Squares Method
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    Chapter 37 Controlled Content Crossover: A New Crossover Scheme and Its Application to Optical Network Component Allocation Problem
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    Chapter 38 Efficient and Reliable Evolutionary Multiobjective Optimization Using ε -Dominance Archiving and Adaptive Population Sizing
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    Chapter 39 Heuristic Methods for Solving Euclidean Non-uniform Steiner Tree Problems
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    Chapter 40 Automating Evolutionary Art in the Style of Mondrian
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    Chapter 41 Mutation Can Improve the Search Capability of Estimation of Distribution Algorithms
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    Chapter 42 Neural Network Normalization for Genetic Search
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    Chapter 43 Distance Measures in Genetic Algorithms
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    Chapter 44 Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment Problem
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    Chapter 45 Evolving Features in Neural Networks for System Identification
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    Chapter 46 A Bio-inspired Genetic Algorithm with a Self-Organizing Genome: The RBF-Gene Model
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    Chapter 47 Evolving Spike-Train Processors
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    Chapter 48 A Philosophical Essay on Life and Its Connections with Genetic Algorithms
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    Chapter 49 An Architecture for Massive Parallelization of the Compact Genetic Algorithm
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    Chapter 50 An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm
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    Chapter 51 Evolving Golomb Rulers
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    Chapter 52 Populating Genomes in a Dynamic Grid
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    Chapter 53 Empirical Study of Population Diversity in Permutation-Based Genetic Algorithm
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    Chapter 54 A Demonstration of Neural Programming Applied to Non-Markovian Problems
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    Chapter 55 Evolving En-Route Caching Strategies for the Internet
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    Chapter 56 Grammatical Constant Creation
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    Chapter 57 Memetic Crossover for Genetic Programming: Evolution Through Imitation
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    Chapter 58 Virtual Ramping of Genetic Programming Populations
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    Chapter 59 Evolving Local Search Heuristics for SAT Using Genetic Programming
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    Chapter 60 Shortcomings with Tree-Structured Edge Encodings for Neural Networks
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    Chapter 61 Adapting Representation in Genetic Programming
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    Chapter 62 A Descriptive Encoding Language for Evolving Modular Neural Networks
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    Chapter 63 Run Transferable Libraries — Learning Functional Bias in Problem Domains
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    Chapter 64 Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
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    Chapter 65 Comparison of Selection Strategies for Evolutionary Quantum Circuit Design
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    Chapter 66 Evolving Quantum Circuits and Programs Through Genetic Programming
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    Chapter 67 On Multi-class Classification by Way of Niching
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    Chapter 68 On the Strength of Size Limits in Linear Genetic Programming
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    Chapter 69 Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
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    Chapter 70 π Grammatical Evolution
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    Chapter 71 Alternative Bloat Control Methods
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    Chapter 72 Robotic Control Using Hierarchical Genetic Programming
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    Chapter 73 A Competitive Building Block Hypothesis
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    Chapter 74 Dynamic Limits for Bloat Control
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    Chapter 75 On Naïve Crossover Biases with Reproduction for Simple Solutions to Classification Problems
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    Chapter 76 Fitness Clouds and Problem Hardness in Genetic Programming
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    Chapter 77 Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
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    Chapter 78 Using GP to Model Contextual Human Behavior
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    Chapter 79 A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming
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    Chapter 80 Humanoid Robot Programming Based on CBR Augmented GP
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    Chapter 81 Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
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    Chapter 82 Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups
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    Chapter 83 Chemical Genetic Programming – Coevolution Between Genotypic Strings and Phenotypic Trees
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    Chapter 84 A Study of the Role of Single Node Mutation in Genetic Programming
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    Chapter 85 Multi-branches Genetic Programming as a Tool for Function Approximation
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    Chapter 86 Hierarchical Breeding Control for Efficient Topology/Parameter Evolution
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    Chapter 87 Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
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    Chapter 88 Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
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    Chapter 89 Bounding Learning Time in XCS
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    Chapter 90 Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
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    Chapter 91 System Level Hardware–Software Design Exploration with XCS
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    Chapter 92 Parameter Adaptation within Co-adaptive Learning Classifier Systems
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    Chapter 93 High Classification Accuracy Does Not Imply Effective Genetic Search
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    Chapter 94 Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS
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    Chapter 95 Improving MACS Thanks to a Comparison with 2TBNs
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    Chapter 96 Classifier Systems for Continuous Payoff Environments
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    Chapter 97 Confidence and Support Classification Using Genetically Programmed Neural Logic Networks
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    Chapter 98 An Evolutionary Constraint Satisfaction Solution for Over the Cell Channel Routing
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    Chapter 99 Solution to the Fixed Airbase Problem for Autonomous URAV Site Visitation Sequencing
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    Chapter 100 Inflight Rerouting for an Unmanned Aerial Vehicle
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    Chapter 101 Memetic Optimization of Video Chain Designs
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    Chapter 102 A Broad and Narrow Approach to Interactive Evolutionary Design – An Aircraft Design Example
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    Chapter 103 Feature Synthesis Using Genetic Programming for Face Expression Recognition
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    Chapter 104 An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
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    Chapter 105 Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation
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    Chapter 106 Genetic and Evolutionary Computation – GECCO 2004
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    Chapter 107 Genetic and Evolutionary Computation – GECCO 2004
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    Chapter 108 Transfer of Neuroevolved Controllers in Unstable Domains
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    Chapter 109 Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting
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    Chapter 110 Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm
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    Chapter 111 Co-evolutionary Agent Self-Organization for City Traffic Congestion Modeling
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    Chapter 112 Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations
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    Chapter 113 Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment
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    Chapter 114 Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation
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    Chapter 115 Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks
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    Chapter 116 A Hybrid Genetic Approach for Circuit Bipartitioning
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    Chapter 117 Lagrange Multiplier Method for Multi-campaign Assignment Problem
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    Chapter 118 Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
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    Chapter 119 CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-evolution
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    Chapter 120 Evolutionary Ensemble for Stock Prediction
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    Chapter 121 Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
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    Chapter 122 Evolutionary Drug Scheduling Model for Cancer Chemotherapy
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    Chapter 123 An Island-Based GA Implementation for VLSI Standard-Cell Placement
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    Chapter 124 Exploratory Data Analysis with Interactive Evolution
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    Chapter 125 Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms
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    Chapter 126 Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
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    Chapter 127 The Lens Design Using the CMA-ES Algorithm
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    Chapter 128 Automatic Synthesis of an 802.11a Wireless LAN Antenna Using Genetic Programming
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    Chapter 129 A Generic Network Design for a Closed-Loop Supply Chain Using Genetic Algorithm
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    Chapter 130 Evolving a Roving Eye for Go
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    Chapter 131 Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem
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    Chapter 132 Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
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    Chapter 133 Multiple Species Weighted Voting – A Genetics-Based Machine Learning System
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    Chapter 134 Object Oriented Design and Implementation of a General Evolutionary Algorithm
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    Chapter 135 Generating Multiaxis Tool Paths for Die and Mold Making with Evolutionary Algorithms
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    Chapter 136 Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
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    Chapter 137 A Genetic Approach for Generating Good Linear Block Error-Correcting Codes
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    Chapter 138 Genetic Fuzzy Discretization for Classification Problems
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    Chapter 139 A Genetic Algorithm for the Shortest Common Superstring Problem
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    Chapter 140 A Genetic Algorithm to Improve Agent-Oriented Natural Language Interpreters
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    Chapter 141 Optimization of Gaussian Mixture Model Parameters for Speaker Identification
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    Chapter 142 Network Intrusion Detection Using Genetic Clustering
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    Chapter 143 Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
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    Chapter 144 Development of a Genetic Algorithm for Optimization of Nanoalloys
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    Chapter 145 Empirical Performance Evaluation of a Parameter-Free GA for JSSP
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    Chapter 146 A Caching Genetic Algorithm for Spectral Breakpoint Matching
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    Chapter 147 Multi-agent Simulation of Airline Travel Markets
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    Chapter 148 Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
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    Chapter 149 A Multi-objective Approach to Configuring Embedded System Architectures
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    Chapter 150 Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
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    Chapter 151 Predicting Healthcare Costs Using Classifiers
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    Chapter 152 Generating Compact Rough Cluster Descriptions Using an Evolutionary Algorithm
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    Chapter 153 An Evolutionary Meta Hierarchical Scheduler for the Linux Operating System
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    Chapter 154 An Evolutionary Algorithm for Parameters Identification in Parabolic Systems
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    Chapter 155 How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution
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    Chapter 156 Evaluating Evolutionary Testability with Software-Measurements
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    Chapter 157 Hybridizing Evolutionary Testing with the Chaining Approach
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    Chapter 158 Using Interconnection Style Rules to Infer Software Architecture Relations
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    Chapter 159 Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
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    Chapter 160 Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System
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    Chapter 161 Search Based Automatic Test-Data Generation at an Architectural Level
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    Chapter 162 Search-Based Techniques for Optimizing Software Project Resource Allocation
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    Chapter 163 Applying Evolutionary Testing to Search for Critical Defects
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    Chapter 164 Input Sequence Generation for Testing of Communicating Finite State Machines (CFSMs)
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    Chapter 165 TDSGen: An Environment Based on Hybrid Genetic Algorithms for Generation of Test Data
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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 II
Published by
Springer Berlin Heidelberg, June 2004
DOI 10.1007/b98645
ISBNs
978-3-54-022343-6, 978-3-54-024855-2
Editors

Deb, Kalyanmoy

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 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 63 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 31%
Student > Ph. D. Student 22 31%
Researcher 8 11%
Student > Bachelor 6 9%
Unspecified 4 6%
Other 8 11%
Readers by discipline Count As %
Computer Science 38 54%
Engineering 17 24%
Unspecified 7 10%
Business, Management and Accounting 3 4%
Agricultural and Biological Sciences 2 3%
Other 3 4%