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Genetic and Evolutionary Computation — GECCO 2003

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Cover of 'Genetic and Evolutionary Computation — GECCO 2003'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Design of Multithreaded Estimation of Distribution Algorithms
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    Chapter 2 Reinforcement Learning Estimation of Distribution Algorithm
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    Chapter 3 Hierarchical BOA Solves Ising Spin Glasses and MAXSAT
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    Chapter 4 ERA: An Algorithm for Reducing the Epistasis of SAT Problems
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    Chapter 5 Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics
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    Chapter 6 Population Sizing for the Redundant Trivial Voting Mapping
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    Chapter 7 Non-stationary Function Optimization Using Polygenic Inheritance
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    Chapter 8 Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage
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    Chapter 9 New Entropy-Based Measures of Gene Significance and Epistasis
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    Chapter 10 A Survey on Chromosomal Structures and Operators for Exploiting Topological Linkages of Genes
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    Chapter 11 Cellular Programming and Symmetric Key Cryptography Systems
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    Chapter 12 Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC
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    Chapter 13 EC Theory: A Unified Viewpoint
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    Chapter 14 Real Royal Road Functions for Constant Population Size
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    Chapter 15 Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold
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    Chapter 16 Dimensionality Reduction via Genetic Value Clustering
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    Chapter 17 The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms
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    Chapter 18 The Virtual Gene Genetic Algorithm
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    Chapter 19 Quad Search and Hybrid Genetic Algorithms
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    Chapter 20 Distance between Populations
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    Chapter 21 The Underlying Similarity of Diversity Measures Used in Evolutionary Computation
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    Chapter 22 Implicit Parallelism
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    Chapter 23 Finding Building Blocks through Eigenstructure Adaptation
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    Chapter 24 A Specialized Island Model and Its Application in Multiobjective Optimization
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    Chapter 25 Adaptation of Length in a Nonstationary Environment
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    Chapter 26 Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem
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    Chapter 27 Building-Block Identification by Simultaneity Matrix
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    Chapter 28 A Unified Framework for Metaheuristics
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    Chapter 29 The Hitting Set Problem and Evolutionary Algorithmic Techniques with ad-hoc Viruses (HEAT-V)
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    Chapter 30 The Spatially-Dispersed Genetic Algorithm
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    Chapter 31 Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms
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    Chapter 32 Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs
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    Chapter 33 The Master-Slave Architecture for Evolutionary Computations Revisited
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    Chapter 34 Using Adaptive Operators in Genetic Search
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    Chapter 35 A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
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    Chapter 36 GA-Hardness Revisited
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    Chapter 37 Barrier Trees For Search Analysis
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    Chapter 38 A Genetic Algorithm as a Learning Method Based on Geometric Representations
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    Chapter 39 Solving Mastermind Using Genetic Algorithms
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    Chapter 40 Evolutionary Multimodal Optimization Revisited
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    Chapter 41 Integrated Genetic Algorithm with Hill Climbing for Bandwidth Minimization Problem
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    Chapter 42 A Fixed-Length Subset Genetic Algorithm for the p-Median Problem
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    Chapter 43 Performance Evaluation of a Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems
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    Chapter 44 SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
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    Chapter 45 Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins
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    Chapter 46 Understanding EA Dynamics via Population Fitness Distributions
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    Chapter 47 Evolutionary Feature Space Transformation Using Type-Restricted Generators
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    Chapter 48 On the Locality of Representations
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    Chapter 49 New Subtour-Based Crossover Operator for the TSP
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    Chapter 50 Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots?
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    Chapter 51 A Genetic Algorithm for Energy Efficient Device Scheduling in Real-Time Systems
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    Chapter 52 Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification
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    Chapter 53 Genetic and Evolutionary Computation — GECCO 2003
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    Chapter 54 Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm
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    Chapter 55 Are the “Best” Solutions to a Real Optimization Problem Always Found in the Noninferior Set? Evolutionary Algorithm for Generating Alternatives (EAGA)
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    Chapter 56 Population Sizing Based on Landscape Feature
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    Chapter 57 Structural Emergence with Order Independent Representations
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    Chapter 58 Identifying Structural Mechanisms in Standard Genetic Programming
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    Chapter 59 Visualizing Tree Structures in Genetic Programming
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    Chapter 60 What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes
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    Chapter 61 Generative Representations for Evolving Families of Designs
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    Chapter 62 Evolutionary Computation Method for Promoter Site Prediction in DNA
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    Chapter 63 Convergence of Program Fitness Landscapes
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    Chapter 64 Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
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    Chapter 65 Population Implosion in Genetic Programming
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    Chapter 66 Methods for Evolving Robust Programs
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    Chapter 67 On the Avoidance of Fruitless Wraps in Grammatical Evolution
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    Chapter 68 Dense and Switched Modular Primitives for Bond Graph Model Design
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    Chapter 69 Dynamic Maximum Tree Depth
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    Chapter 70 Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming
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    Chapter 71 Genetic and Evolutionary Computation — GECCO 2003
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    Chapter 72 Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
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    Chapter 73 Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
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    Chapter 74 A General Approach to Automatic Programming Using Occam’s Razor, Compression, and Self-Inspection
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    Chapter 75 Building Decision Tree Software Quality Classification Models Using Genetic Programming
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    Chapter 76 Evolving Petri Nets with a Genetic Algorithm
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    Chapter 77 Diversity in Multipopulation Genetic Programming
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    Chapter 78 An Encoding Scheme for Generating λ-Expressions in Genetic Programming
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    Chapter 79 AVICE: Evolving Avatar’s Movernent
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    Chapter 80 Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System
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    Chapter 81 Limits in Long Path Learning with XCS
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    Chapter 82 Bounding the Population Size in XCS to Ensure Reproductive Opportunities
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    Chapter 83 Tournament Selection: Stable Fitness Pressure in XCS
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    Chapter 84 Improving Performance in Size-Constrained Extended Classifier Systems
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    Chapter 85 Designing Efficient Exploration with MACS: Modules and Function Approximation
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    Chapter 86 Estimating Classifier Generalization and Action’s Effect: A Minimalist Approach
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    Chapter 87 Towards Building Block Propagation in XCS: A Negative Result and Its Implications
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    Chapter 88 Data Classification Using Genetic Parallel Programming
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    Chapter 89 Dynamic Strategies in a Real-Time Strategy Game
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    Chapter 90 Using Raw Accuracy to Estimate Classifier Fitness in XCS
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    Chapter 91 Towards Learning Classifier Systems for Continuous-Valued Online Environments
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    Chapter 92 Artificial Immune System for Classification of Gene Expression Data
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    Chapter 93 Automatic Design Synthesis and Optimization of Component-Based Systems by Evolutionary Algorithms
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    Chapter 94 Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
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    Chapter 95 Optimal Elevator Group Control by Evolution Strategies
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    Chapter 96 A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building
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    Chapter 97 The General Yard Allocation Problem
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    Chapter 98 Connection Network and Optimization of Interest Metric for One-to-One Marketing
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    Chapter 99 Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System
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    Chapter 100 Secret Agents Leave Big Footprints: How to Plant a Cryptographic Trapdoor, and Why You Might Not Get Away with It
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    Chapter 101 GenTree: An Interactive Genetic Algorithms System for Designing 3D Polygonal Tree Models
  103. Altmetric Badge
    Chapter 102 Genetic and Evolutionary Computation — GECCO 2003
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    Chapter 103 System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
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    Chapter 104 Congressional Districting Using a TSP-Based Genetic Algorithm
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    Chapter 105 Active Guidance for a Finless Rocket Using Neuroevolution
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    Chapter 106 Simultaneous Assembly Planning and Assembly System Design Using Multi-objective Genetic Algorithms
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    Chapter 107 Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
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    Chapter 108 Genetic Algorithm Optimized Feature Transformation — A Comparison with Different Classifiers
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    Chapter 109 Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm
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    Chapter 110 Quantum-Inspired Evolutionary Algorithm-Based Face Verification
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    Chapter 111 Minimization of Sonic Boom on Supersonic Aircraft Using an Evolutionary Algorithm
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    Chapter 112 Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm
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    Chapter 113 Multicriteria Network Design Using Evolutionary Algorithm
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    Chapter 114 Control of a Flexible Manipulator Using a Sliding Mode Controller with Genetic Algorithm Tuned Manipulator Dimension
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    Chapter 115 Daily Stock Prediction Using Neuro-genetic Hybrids
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    Chapter 116 Finding the Optimal Gene Order in Displaying Microarray Data
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    Chapter 117 Learning Features for Object Recognition
  119. Altmetric Badge
    Chapter 118 An Efficient Hybrid Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth
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    Chapter 119 Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
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    Chapter 120 Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation
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    Chapter 121 Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
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    Chapter 122 GA-Based Inference of Euler Angles for Single Particle Analysis
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    Chapter 123 Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
  125. Altmetric Badge
    Chapter 124 Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
  126. Altmetric Badge
    Chapter 125 A Linear Genetic Programming Approach to Intrusion Detection
  127. Altmetric Badge
    Chapter 126 Genetic Algorithm for Supply Planning Optimization under Uncertain Demand
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    Chapter 127 Genetic Algorithms: A Fundamental Component of an Optimization Toolkit for Improved Engineering Designs
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    Chapter 128 Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
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    Chapter 129 An Evolutionary Approach for Molecular Docking
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    Chapter 130 Evolving Sensor Suites for Enemy Radar Detection
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    Chapter 131 Optimization of Spare Capacity in Survivable WDM Networks
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    Chapter 132 Partner Selection in Virtual Enterprises by Using Ant Colony Optimization in Combination with the Analytical Hierarchy Process
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    Chapter 133 Quadrilateral Mesh Smoothing Using a Steady State Genetic Algorithm
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    Chapter 134 Evolutionary Algorithms for Two Problems from the Calculus of Variations
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    Chapter 135 Genetic Algorithm Frequency Domain Optimization of an Anti-Resonant Electromechanical Controller
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    Chapter 136 Genetic Algorithm Optimization of a Filament Winding Process
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    Chapter 137 Circuit Bipartitioning Using Genetic Algorithm
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    Chapter 138 Multi-campaign Assignment Problem and Optimizing Lagrange Multipliers
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    Chapter 139 Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems
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    Chapter 140 Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
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    Chapter 141 An Evolutionary Algorithm for the Joint Replenishment of Inventory with Interdependent Ordering Costs
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    Chapter 142 Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
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    Chapter 143 Multi-objective Traffic Signal Timing Optimization Using Non-dominated Sorting Genetic Algorithm II
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    Chapter 144 Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms
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    Chapter 145 Taming a Flood with a T-CUP — Designing Flood-Control Structures with a Genetic Algorithm
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    Chapter 146 Assignment Copy Detection Using Neuro-genetic Hybrids
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    Chapter 147 Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
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    Chapter 148 Evolutionary Testing of Flag Conditions
  150. Altmetric Badge
    Chapter 149 Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
  151. Altmetric Badge
    Chapter 150 Extracting Test Sequences from a Markov Software Usage Model by ACO
  152. Altmetric Badge
    Chapter 151 Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets
  153. Altmetric Badge
    Chapter 152 The State Problem for Evolutionary Testing
  154. Altmetric Badge
    Chapter 153 Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
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    Chapter 154 Genetic and Evolutionary Computation — GECCO 2003
  156. Altmetric Badge
    Chapter 155 Genetic and Evolutionary Computation — GECCO 2003
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 X user
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2 Wikipedia pages

Citations

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Title
Genetic and Evolutionary Computation — GECCO 2003
Published by
Lecture notes in computer science, June 2003
DOI 10.1007/3-540-45110-2
ISBNs
978-3-54-040603-7, 978-3-54-045110-5
Authors

Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence David Davis, Rajkumar Roy, Una-May O’Reilly, Hans-Georg Beyer, Russell Standish, Graham Kendall, Stewart Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitch A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasha Jonoska, Julian Miller

Editors

Cantú-Paz, Erick, Foster, James A., Deb, Kalyanmoy, Davis, Lawrence David, Roy, Rajkumar, O’Reilly, Una-May, Beyer, Hans-Georg, Standish, Russell, Kendall, Graham, Wilson, Stewart, Harman, Mark, Wegener, Joachim, Dasgupta, Dipankar, Potter, Mitch A., Schultz, Alan C., Dowsland, Kathryn A., Jonoska, Natasha, Miller, Julian

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 4%
Student > Doctoral Student 2 3%
Professor > Associate Professor 2 3%
Other 1 1%
Student > Bachelor 1 1%
Other 3 4%
Unknown 56 82%
Readers by discipline Count As %
Engineering 5 7%
Computer Science 5 7%
Mathematics 1 1%
Unknown 57 84%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 April 2020.
All research outputs
#6,977,974
of 22,876,619 outputs
Outputs from Lecture notes in computer science
#2,286
of 8,130 outputs
Outputs of similar age
#16,012
of 48,968 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 29 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 48,968 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.