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Genetic and Evolutionary Computation — GECCO 2003 : Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part I

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Cover of 'Genetic and Evolutionary Computation — GECCO 2003 : Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part I'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Swarms in Dynamic Environments
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    Chapter 2 The Effect of Natural Selection on Phylogeny Reconstruction Algorithms
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    Chapter 3 AntClust: Ant Clustering and Web Usage Mining
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    Chapter 4 A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
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    Chapter 5 The Influence of Run-Time Limits on Choosing Ant System Parameters
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    Chapter 6 Emergence of Collective Behavior in Evolving Populations of Flying Agents
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    Chapter 7 On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem
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    Chapter 8 Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants
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    Chapter 9 Sexual Selection of Co-operation
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    Chapter 10 Optimization Using Particle Swarms with Near Neighbor Interactions
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    Chapter 11 Revisiting Elitism in Ant Colony Optimization
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    Chapter 12 A New Approach to Improve Particle Swarm Optimization
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    Chapter 13 Clustering and Dynamic Data Visualization with Artificial Flying Insect
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    Chapter 14 Ant Colony Programming for Approximation Problems
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    Chapter 15 Long-Term Competition for Light in Plant Simulation
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    Chapter 16 Using Ants to Attack a Classical Cipher
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    Chapter 17 Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network
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    Chapter 18 Adaptation and Ruggedness in an Evolvability Landscape
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    Chapter 19 Study Diploid System by a Hamiltonian Cycle Problem Algorithm
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    Chapter 20 A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria
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    Chapter 21 Tour Jeté, Pirouette: Dance Choreographing by Computers
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    Chapter 22 Multiobjective Optimization Using Ideas from the Clonal Selection Principle
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    Chapter 23 A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
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    Chapter 24 MILA — Multilevel Immune Learning Algorithm
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    Chapter 25 The Effect of Binary Matching Rules in Negative Selection
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    Chapter 26 Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation
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    Chapter 27 Genetic and Evolutionary Computation — GECCO 2003
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    Chapter 28 Developing an Immunity to Spam
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    Chapter 29 A Novel Immune Anomaly Detection Technique Based on Negative Selection
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    Chapter 30 Visualization of Topic Distribution Based on Immune Network Model
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    Chapter 31 Spatial Formal Immune Network
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    Chapter 32 Focusing versus Intransitivity Geometrical Aspects of Co-evolution
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    Chapter 33 Representation Development from Pareto-Coevolution
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    Chapter 34 Learning the Ideal Evaluation Function
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    Chapter 35 A Game-Theoretic Memory Mechanism for Coevolution
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    Chapter 36 The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution
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    Chapter 37 Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
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    Chapter 38 PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images
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    Chapter 39 Coevolution and Linear Genetic Programming for Visual Learning
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    Chapter 40 Finite Population Models of Co-evolution and Their Application to Haploidy versus Diploidy
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    Chapter 41 Evolving Keepaway Soccer Players through Task Decomposition
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    Chapter 42 A New Method of Multilayer Perceptron Encoding
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    Chapter 43 An Incremental and Non-generational Coevolutionary Algorithm
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    Chapter 44 Coevolutionary Convergence to Global Optima
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    Chapter 45 Generalized Extremal Optimization for Solving Complex Optimal Design Problems
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    Chapter 46 Coevolving Communication and Cooperation for Lattice Formation Tasks
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    Chapter 47 Efficiency and Reliability of DNA-Based Memories
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    Chapter 48 Evolving Hogg’s Quantum Algorithm Using Linear-Tree GP
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    Chapter 49 Hybrid Networks of Evolutionary Processors
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    Chapter 50 DNA-Like Genomes for Evolution in silico
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    Chapter 51 String Binding-Blocking Automata
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    Chapter 52 On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
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    Chapter 53 Evolutionary Two-Dimensional DNA Sequence Alignment
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    Chapter 54 Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
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    Chapter 55 Hardware Evolution of Analog Speed Controllers for a DC Motor
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    Chapter 56 An Examination of Hypermutation and Random Immigrant Variants of mrCGA for Dynamic Environments
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    Chapter 57 Inherent Fault Tolerance in Evolved Sorting Networks
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    Chapter 58 Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments
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    Chapter 59 Integration of Genetic Programming and Reinforcement Learning for Real Robots
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    Chapter 60 Multi-objectivity as a Tool for Constructing Hierarchical Complexity
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    Chapter 61 Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
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    Chapter 62 An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning
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    Chapter 63 Fractional Order Dynamical Phenomena in a GA
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    Chapter 64 Dimension-Independent Convergence Rate for Non-isotropic (1, λ) — ES
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    Chapter 65 The Steady State Behavior of ( μ/μ I , λ)-ES on Ellipsoidal Fitness Models Disturbed by Noise
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    Chapter 66 Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments
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    Chapter 67 Evolutionary Computing as a Tool for Grammar Development
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    Chapter 68 Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary Society of Hill-Climbers
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    Chapter 69 Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
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    Chapter 70 Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
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    Chapter 71 Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem
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    Chapter 72 Model-Assisted Steady-State Evolution Strategies
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    Chapter 73 On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search
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    Chapter 74 A Forest Representation for Evolutionary Algorithms Applied to Network Design
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    Chapter 75 Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis
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    Chapter 76 The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
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    Chapter 77 A Simple Evolution Strategy to Solve Constrained Optimization Problems
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    Chapter 78 Effective Search of the Energy Landscape for Protein Folding
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    Chapter 79 A Clustering Based Niching Method for Evolutionary Algorithms
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    Chapter 80 A Hybrid Genetic Algorithm for the Capacitated Vehicle Routing Problem
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    Chapter 81 An Evolutionary Approach to Capacitated Resource Distribution by a Multiple-Agent Team
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    Chapter 82 A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
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    Chapter 83 An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator
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    Chapter 84 Generation and Optimization of Train Timetables Using Coevolution
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    Chapter 85 Chromosome Reuse in Genetic Algorithms
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    Chapter 86 Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization
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    Chapter 87 An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
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    Chapter 88 Asynchronous Genetic Algorithms for Heterogeneous Networks Using Coarse-Grained Dataflow
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    Chapter 89 A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
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    Chapter 90 Ant-Based Crossover for Permutation Problems
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    Chapter 91 Selection in the Presence of Noise
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    Chapter 92 Effective Use of Directional Information in Multi-objective Evolutionary Computation
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    Chapter 93 Pruning Neural Networks with Distribution Estimation Algorithms
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    Chapter 94 Are Multiple Runs of Genetic Algorithms Better than One?
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    Chapter 95 Constrained Multi-objective Optimization Using Steady State Genetic Algorithms
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    Chapter 96 An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
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    Chapter 97 Tightness Time for the Linkage Learning Genetic Algorithm
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    Chapter 98 A Hybrid Genetic Algorithm for the Hexagonal Tortoise Problem
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    Chapter 99 Normalization in Genetic Algorithms
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    Chapter 100 Coarse-Graining in Genetic Algorithms: Some Issues and Examples
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    Chapter 101 Building a GA from Design Principles for Learning Bayesian Networks
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    Chapter 102 A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
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    Chapter 103 Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
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    Chapter 104 Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA)
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    Chapter 105 Schema Analysis of Average Fitness in Multiplicative Landscape
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    Chapter 106 On the Treewidth of NK Landscapes
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    Chapter 107 Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
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    Chapter 108 A Case for Codons in Evolutionary Algorithms
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    Chapter 109 Natural Coding: A More Efficient Representation for Evolutionary Learning
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    Chapter 110 Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
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    Chapter 111 Efficient Linkage Discovery by Limited Probing
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    Chapter 112 Distributed Probabilistic Model-Building Genetic Algorithm
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    Chapter 113 HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
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    Chapter 114 Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
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    Chapter 115 Designing a Hybrid Genetic Algorithm for the Linear Ordering Problem
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    Chapter 116 A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
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    Chapter 117 Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
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    Chapter 118 Voronoi Diagrams Based Function Identification
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    Chapter 119 New Usage of SOM for Genetic Algorithms
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    Chapter 120 Problem-Independent Schema Synthesis for Genetic Algorithms
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    Chapter 121 Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning
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    Chapter 122 New Usage of Sammon’s Mapping for Genetic Visualization
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    Chapter 123 Exploring a Two-Population Genetic Algorithm
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    Chapter 124 Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
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    Chapter 125 Wise Breeding GA via Machine Learning Techniques for Function Optimization
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    Chapter 126 Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
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    Chapter 127 Comparing Evolutionary Computation Techniques via Their Representation
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    Chapter 128 Dispersion-Based Population Initialization
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    Chapter 129 A Parallel Genetic Algorithm Based on Linkage Identification
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    Chapter 130 Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
Attention for Chapter 26: Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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1 Wikipedia page

Citations

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8 Dimensions

Readers on

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29 Mendeley
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Chapter title
Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation
Chapter number 26
Book title
Genetic and Evolutionary Computation — GECCO 2003
Published in
Lecture notes in computer science, July 2003
DOI 10.1007/3-540-45105-6_26
Book ISBNs
978-3-54-040602-0, 978-3-54-045105-1
Authors

Johnny Kelsey, Jon Timmis

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 45%
Researcher 5 17%
Professor 4 14%
Other 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 21 72%
Engineering 5 17%
Immunology and Microbiology 1 3%
Agricultural and Biological Sciences 1 3%
Unknown 1 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 September 2020.
All research outputs
#5,045,844
of 15,968,624 outputs
Outputs from Lecture notes in computer science
#2,229
of 7,619 outputs
Outputs of similar age
#88,157
of 292,507 outputs
Outputs of similar age from Lecture notes in computer science
#125
of 319 outputs
Altmetric has tracked 15,968,624 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,619 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 57% 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 292,507 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 64% of its contemporaries.
We're also able to compare this research output to 319 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 56% of its contemporaries.