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Genetic programming : 10th European conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007 : proceedings

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Cover of 'Genetic programming : 10th European conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007 : proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
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    Chapter 2 An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers
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    Chapter 3 Confidence Intervals for Computational Effort Comparisons
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    Chapter 4 Crossover Bias in Genetic Programming
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    Chapter 5 Density Estimation with Genetic Programming for Inverse Problem Solving
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    Chapter 6 Empirical Analysis of GP Tree-Fragments
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    Chapter 7 Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems
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    Chapter 8 Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess
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    Chapter 9 Fast Genetic Programming on GPUs
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    Chapter 10 FIFTHTM: A Stack Based GP Language for Vector Processing
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    Chapter 11 Genetic Programming with Fitness Based on Model Checking
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    Chapter 12 Genetic Programming
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    Chapter 13 GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions
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    Chapter 14 Genetic Programming
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    Chapter 15 Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
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    Chapter 16 Multi-objective Genetic Programming for Improving the Performance of TCP
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    Chapter 17 On Population Size and Neutrality: Facilitating the Evolution of Evolvability
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    Chapter 18 On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming
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    Chapter 19 Predicting Prime Numbers Using Cartesian Genetic Programming
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    Chapter 20 Real-Time, Non-intrusive Evaluation of VoIP
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    Chapter 21 Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
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    Chapter 22 A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds
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    Chapter 23 Analysing the Regularity of Genomes Using Compression and Expression Simplification
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    Chapter 24 Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming
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    Chapter 25 Code Regulation in Open Ended Evolution
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    Chapter 26 Data Mining of Genetic Programming Run Logs
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    Chapter 27 Evolving a Statistics Class Using Object Oriented Evolutionary Programming
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    Chapter 28 Evolving Modular Recursive Sorting Algorithms
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    Chapter 29 Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
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    Chapter 30 Genetic Programming Heuristics for Multiple Machine Scheduling
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    Chapter 31 Group-Foraging with Particle Swarms and Genetic Programming
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    Chapter 32 Multiple Interactive Outputs in a Single Tree: An Empirical Investigation
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    Chapter 33 Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data
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    Chapter 34 The Holland Broadcast Language and the Modeling of Biochemical Networks
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    Chapter 35 The Induction of Finite Transducers Using Genetic Programming
Overall attention for this book and its chapters
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Title
Genetic programming : 10th European conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007 : proceedings
Published by
Lecture notes in computer science, January 2007
DOI 10.1007/978-3-540-71605-1
ISBNs
978-3-54-071602-0, 978-3-54-071605-1
Authors

Ebner, Marc

Editors

Ebner, Marc, O’Neill, Michael, Ekárt, Anikó, Vanneschi, Leonardo, Esparcia-Alcázar, Anna Isabel

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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 1%
Unknown 94 99%
Readers by discipline Count As %
Engineering 1 1%
Unknown 94 99%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 October 2015.
All research outputs
#18,539,663
of 22,961,203 outputs
Outputs from Lecture notes in computer science
#6,023
of 8,137 outputs
Outputs of similar age
#149,525
of 157,510 outputs
Outputs of similar age from Lecture notes in computer science
#53
of 59 outputs
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