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Artificial Evolution

Overview of attention for book
Cover of 'Artificial Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 From Royal Road to Epistatic Road for Variable Length Evolution Algorithm
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    Chapter 2 Artificial Evolution
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    Chapter 3 A Study of the Effects of Dimensionality on Stochastic Hill Climbers and Estimation of Distribution Algorithms
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    Chapter 4 Evolutionary Search for Binary Strings with Low Aperiodic Auto-correlations
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    Chapter 5 Order Statistics in Artificial Evolution
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    Chapter 6 Evolutionary Markov Chain Monte Carlo
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    Chapter 7 A Hybrid Evolutionary Algorithm for CSP
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    Chapter 8 Optimising Graph Partitions Using Parallel Evolution
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    Chapter 9 Recombination Operators for Satisfiability Problems
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    Chapter 10 Recombination and Self-Adaptation in Multi-objective Genetic Algorithms
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    Chapter 11 Automatic Optical Fiber Alignment System Using Genetic Algorithms
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    Chapter 12 Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm
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    Chapter 13 Evolutionary Mining for Image Classification Rules
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    Chapter 14 Ant Algorithm for Detection of Retentive Structures in Coastal Waters
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    Chapter 15 Air Traffic Controller Keyboard Optimization by Artificial Evolution
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    Chapter 16 Post Docking Filtering Using Cartesian Genetic Programming
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    Chapter 17 GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
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    Chapter 18 ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms
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    Chapter 19 A Coarse-Grained Parallel Genetic Algorithm Employing Cluster Analysis for Multi-modal Numerical Optimisation
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    Chapter 20 A Study of Diversity in Multipopulation Genetic Programming
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    Chapter 21 Self-Improvement to Control Code Growth in Genetic Programming
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    Chapter 22 Exploring Overfitting in Genetic Programming
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    Chapter 23 An Agent Model for First Price and Second Price Private Value Auctions
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    Chapter 24 A Clustering Based Niching EA for Multimodal Search Spaces
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    Chapter 25 Artificial Evolution
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    Chapter 26 Co-evolution in Artificial Ecosystems: Competition and Cooperation Using Allellopathy
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    Chapter 27 The Evolutionary Control Methodology: An Overview
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    Chapter 28 Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms
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    Chapter 29 Artificial Evolution
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    Chapter 30 Genetic Feature Learning Algorithm for Fluorescence Fingerprinting of Plants
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    Chapter 31 ROC-Based Evolutionary Learning: Application to Medical Data Mining
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    Chapter 32 Social Learning through Evolution of Language
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Title
Artificial Evolution
Published by
Lecture notes in computer science, January 2004
DOI 10.1007/b96080
ISBNs
978-3-54-021523-3, 978-3-54-024621-3
Editors

Liardet, Pierre, Collet, Pierre, Fonlupt, Cyril, Lutton, Evelyne, Schoenauer, Marc

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 February 2019.
All research outputs
#15,163,603
of 23,322,258 outputs
Outputs from Lecture notes in computer science
#4,575
of 8,159 outputs
Outputs of similar age
#113,683
of 134,538 outputs
Outputs of similar age from Lecture notes in computer science
#82
of 115 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.