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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 On the Impact of the Representation on Fitness Landscapes
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    Chapter 2 The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving
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    Chapter 3 Metric Based Evolutionary Algorithms
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    Chapter 4 Register Based Genetic Programming on FPGA Computing Platforms
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    Chapter 5 An Extrinsic Function-Level Evolvable Hardware Approach
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    Chapter 6 Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff – Introductory Investigations
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    Chapter 7 Evolution of a Controller with a Free Variable Using Genetic Programming
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    Chapter 8 Genetic Programming for Service Creation in Intelligent Networks
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    Chapter 9 Cartesian Genetic Programming
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    Chapter 10 Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming
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    Chapter 11 Crossover in Grammatical Evolution: A Smooth Operator?
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    Chapter 12 Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory
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    Chapter 13 Use of Genetic Programming in the Identification of Rational Model Structures
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    Chapter 14 Grammatical Retina Description with Enhanced Methods
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    Chapter 15 Intraspecific Evolution of Learning by Genetic Programming
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    Chapter 16 An Evolutionary Approach to Multiperiod Asset Allocation
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    Chapter 17 Acquiring Textual Relations Automatically on the Web Using Genetic Programming
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    Chapter 18 Application of Genetic Programming to Induction of Linear Classification Trees
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    Chapter 19 A Metric for Genetic Programs and Fitness Sharing
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    Chapter 20 Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
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    Chapter 21 Experimental Study of Multipopulation Parallel Genetic Programming
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    Chapter 22 Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees
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    Chapter 23 Seeding Genetic Programming Populations
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    Chapter 24 Distributed Java Bytecode Genetic Programming with Telecom Applications
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    Chapter 25 Fighting Program Bloat with the Fractal Complexity Measure
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    Chapter 26 Paragen – The First Results
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    Chapter 27 Multi-robot Cooperation and Competition with Genetic Programming
Overall attention for this book and its chapters
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Mentioned by

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2 Wikipedia pages

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2 Mendeley
Summary Wikipedia
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Title
Genetic Programming
Published by
Springer Berlin Heidelberg, May 2004
DOI 10.1007/b75085
ISBNs
978-3-54-067339-2, 978-3-54-046239-2
Editors

Poli, Riccardo, Banzhaf, Wolfgang, Langdon, William B., Miller, Julian, Nordin, Peter, Fogarty, Terence C.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 50%
Unknown 1 50%
Readers by discipline Count As %
Nursing and Health Professions 1 50%
Unknown 1 50%

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