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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 Genetic Programming
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    Chapter 2 Learning Text Patterns Using Separate-and-Conquer Genetic Programming
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    Chapter 3 Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation
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    Chapter 4 On the Generalization Ability of Geometric Semantic Genetic Programming
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    Chapter 5 Automatic Derivation of Search Objectives for Test-Based Genetic Programming
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    Chapter 6 Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation
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    Chapter 7 M3GP – Multiclass Classification with GP
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    Chapter 8 Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling
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    Chapter 9 Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification
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    Chapter 10 Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs
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    Chapter 11 Tapped Delay Lines for GP Streaming Data Classification with Label Budgets
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    Chapter 12 Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates
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    Chapter 13 Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson
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    Chapter 14 Automatic Evolution of Parallel Recursive Programs
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    Chapter 15 Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models
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    Chapter 16 Evolutionary Methods for the Construction of Cryptographic Boolean Functions
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    Chapter 17 Templar – A Framework for Template-Method Hyper-Heuristics
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    Chapter 18 Circuit Approximation Using Single- and Multi-objective Cartesian GP
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Citations

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Title
Genetic Programming
Published by
Lecture notes in computer science, March 2015
DOI 10.1007/978-3-319-16501-1
ISBNs
978-3-31-916500-4, 978-3-31-916501-1
Authors

Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim, Park, John, Nguyen, Su, Zhang, Mengjie, Johnston, Mark

Editors

Machado, Penousal, Sim, Kevin, Risi, Sebastian, Burelli, Paolo, García Sánchez, Pablo, Castelli, Mauro, McDermott, James, Heywood, Malcolm I.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Doctoral Student 3 18%
Student > Ph. D. Student 3 18%
Lecturer 2 12%
Professor 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 8 47%
Engineering 5 29%
Decision Sciences 1 6%
Unknown 3 18%