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Genetic Programming

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Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 A Pipelined Hardware Implementation of Genetic Programming Using FPGAs and Handel-C
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    Chapter 2 Finding Needles in Haystacks Is Not Hard with Neutrality
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    Chapter 3 Routine Duplication of Post-2000 Patented Inventions by Means of Genetic Programming
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    Chapter 4 Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming
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    Chapter 5 Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming
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    Chapter 6 Combining Decision Trees and Neural Networks for Drug Discovery
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    Chapter 7 Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
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    Chapter 8 Linear-Graph GP - A New GP Structure
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    Chapter 9 Parallel Surface Reconstruction
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    Chapter 10 Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Grammatical Evolution
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    Chapter 11 A New View on Symbolic Regression
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    Chapter 12 Grammatical Evolution Rules: The Mod and the Bucket Rule
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    Chapter 13 No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms – The Chorus System
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    Chapter 14 Exons and Code Growth in Genetic Programming
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    Chapter 15 Uniform Subtree Mutation
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    Chapter 16 Maintaining the Diversity of Genetic Programs
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    Chapter 17 N-Version Genetic Programming via Fault Masking
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    Chapter 18 An Analysis of Koza’s Computational Effort Statistic for Genetic Programming
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    Chapter 19 Genetic Control Applied to Asset Managements
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    Chapter 20 Evolutionary Algorithm Approach to Bilateral Negotiations
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    Chapter 21 Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover
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    Chapter 22 Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming
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    Chapter 23 A Puzzle to Challenge Genetic Programming
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    Chapter 24 Transformation of Equational Specification by Means of Genetic Programming
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    Chapter 25 Automatic Generation of Control Programs for Walking Robots Using Genetic Programming
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    Chapter 26 An Investigation into the Use of Different Search Strategies with Grammatical Evolution
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    Chapter 27 Genetic Programming
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    Chapter 28 A Brute-Force Approac to Automatic Induction of Machine Code on CISC Architectures
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    Chapter 29 Deriving Genetic Programming Fitness Properties by Static Analysis
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    Chapter 30 New Results on Fuzzy Regression by Using Genetic Programming
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    Chapter 31 Coevolution Produces an Arms Race among Virtual Plants
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    Chapter 32 Comparing Synchronous and Asynchronous Parallel and Distributed Genetic Programming Models
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Title
Genetic Programming
Published by
Springer Science & Business Media, March 2002
DOI 10.1007/3-540-45984-7
ISBNs
978-3-54-043378-1, 978-3-54-045984-2
Editors

Foster, James A., Lutton, Evelyne, Miller, Julian, Ryan, Conor, Tettamanzi, Andrea

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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 %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%