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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 Evolving Cellular Automata to Grow Microstructures
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    Chapter 2 An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients
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    Chapter 3 New Factorial Design Theoretic Crossover Operator for Parametrical Problem
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    Chapter 4 Overfitting or Poor Learning: A Critique of Current Financial Applications of GP
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    Chapter 5 Evolutionary Design of Objects Using Scene Graphs
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    Chapter 6 Ensemble Techniques for Parallel Genetic Programming Based Classifiers
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    Chapter 7 Improving Symbolic Regression with Interval Arithmetic and Linear Scaling
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    Chapter 8 Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming
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    Chapter 9 Interactive GP for Data Retrieval in Medical Databases
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    Chapter 10 Parallel Programs Are More Evolvable than Sequential Programs
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    Chapter 11 Genetic Programming with Meta-search: Searching for a Successful Population within the Classification Domain
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    Chapter 12 Evolving Finite State Transducers: Some Initial Explorations
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    Chapter 13 Reducing Population Size while Maintaining Diversity
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    Chapter 14 Genetic Programming
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    Chapter 15 More on Computational Effort Statistics for Genetic Programming
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    Chapter 16 Analysis of a Digit Concatenation Approach to Constant Creation
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    Chapter 17 Genetic Programming with Boosting for Ambiguities in Regression Problems
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    Chapter 18 Maximum Homologous Crossover for Linear Genetic Programming
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    Chapter 19 A Simple but Theoretically-Motivated Method to Control Bloat in Genetic Programming
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    Chapter 20 Divide and Conquer: Genetic Programming Based on Multiple Branches Encoding
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    Chapter 21 Feature Construction and Selection Using Genetic Programming and a Genetic Algorithm
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    Chapter 22 Genetic Programming Applied to Compiler Heuristic Optimization
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    Chapter 23 Modularity in Genetic Programming
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    Chapter 24 Decreasing the Number of Evaluations in Evolutionary Algorithms by Using a Meta-model of the Fitness Function
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    Chapter 25 Genetic Programming
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    Chapter 26 Neutral Variations Cause Bloat in Linear GP
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    Chapter 27 Experimental Design Based Multi-parent Crossover Operator
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    Chapter 28 An Enhanced Framework for Microprocessor Test-Program Generation
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    Chapter 29 The Effect of Plagues in Genetic Programming: A Study of Variable-Size Populations
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    Chapter 30 Multi Niche Parallel GP with a Junk-Code Migration Model
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    Chapter 31 Tree Adjoining Grammars, Language Bias, and Genetic Programming
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    Chapter 32 Artificial Immune System Programming for Symbolic Regression
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    Chapter 33 Grammatical Evolution with Bidirectional Representation
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    Chapter 34 Introducing a Perl Genetic Programming System - and Can Meta-evolution Solve the Bloat Problem?
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    Chapter 35 Evolutionary Optimized Mold Temperature Control Strategies Using a Multi-polyline Approach
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    Chapter 36 Genetic Programming for Attribute Construction in Data Mining
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    Chapter 37 Sensible Initialisation in Chorus
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    Chapter 38 An Analysis of Diversity of Constants of Genetic Programming
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    Chapter 39 Genetic Programming
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    Chapter 40 From Implementations to a General Concept of Evolvable Machines
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    Chapter 41 Cooperative Evolution on the Intertwined Spirals Problem
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    Chapter 42 The Root Causes of Code Growth in Genetic Programming
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    Chapter 43 Fitness Distance Correlation in Structural Mutation Genetic Programming
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    Chapter 44 Disease Modeling Using Evolved Discriminate Function
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    Chapter 45 Genetic Programming
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Title
Genetic Programming
Published by
Springer Science & Business Media, April 2003
DOI 10.1007/3-540-36599-0
ISBNs
978-3-54-000971-9, 978-3-54-036599-0
Editors

Ryan, Conor, Soule, Terence, Poli, Riccardo, Tsang, Edward, Keijzer, Maarten, Costa, Ernesto

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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 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 %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

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