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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 One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming
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    Chapter 2 Evolutionary Approximation of Edge Detection Circuits
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    Chapter 3 On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets
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    Chapter 4 Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data
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    Chapter 5 Surrogate Fitness via Factorization of Interaction Matrix
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    Chapter 6 Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming
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    Chapter 7 On the Analysis of Simple Genetic Programming for Evolving Boolean Functions
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    Chapter 8 Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches
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    Chapter 9 A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications
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    Chapter 10 A Genetic Programming-Based Imputation Method for Classification with Missing Data
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    Chapter 11 Plastic Fitness Predictors Coevolved with Cartesian Programs
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    Chapter 12 Search-Based SQL Injection Attacks Testing Using Genetic Programming
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    Chapter 13 Grammar Design for Derivation Tree Based Genetic Programming Systems
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    Chapter 14 Modelling Evolvability in Genetic Programming
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    Chapter 15 Towards Automated Strategies in Satisfiability Modulo Theory
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    Chapter 16 Geometric Semantic Genetic Programming Is Overkill
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    Chapter 17 Semantic Geometric Initialization
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    Chapter 18 Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application
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    Chapter 19 Iterative Cartesian Genetic Programming: Creating General Algorithms for Solving Travelling Salesman Problems
Attention for Chapter 5: Surrogate Fitness via Factorization of Interaction Matrix
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Chapter title
Surrogate Fitness via Factorization of Interaction Matrix
Chapter number 5
Book title
Genetic Programming
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-30668-1_5
Book ISBNs
978-3-31-930667-4, 978-3-31-930668-1
Authors

Paweł Liskowski, Krzysztof Krawiec

Editors

Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Biochemistry, Genetics and Molecular Biology 1 17%
Engineering 1 17%
Unknown 1 17%

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