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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 An Algorithmic Chemistry for Genetic Programming
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    Chapter 2 Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner
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    Chapter 3 Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming
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    Chapter 4 Bayesian Automatic Programming
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    Chapter 5 Dynamic Size Populations in Distributed Genetic Programming
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    Chapter 6 Evolution of Robot Controller Using Cartesian Genetic Programming
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    Chapter 7 Genetic Programming
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    Chapter 8 Evolving Rules for Document Classification
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    Chapter 9 Genetic Programming in Wireless Sensor Networks
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    Chapter 10 Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator
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    Chapter 11 GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players
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    Chapter 12 GP-Gammon: Using Genetic Programming to Evolve Backgammon Players
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    Chapter 13 GP-Robocode: Using Genetic Programming to Evolve Robocode Players
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    Chapter 14 Incorporating Learning Probabilistic Context-Sensitive Grammar in Genetic Programming for Efficient Evolution and Adaptation of Snakebot
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    Chapter 15 Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming
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    Chapter 16 Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
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    Chapter 17 Repeated Patterns in Tree Genetic Programming
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    Chapter 18 Tarpeian Bloat Control and Generalization Accuracy
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    Chapter 19 Genetic Programming
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    Chapter 20 Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems
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    Chapter 21 Context-Based Repeated Sequences in Linear Genetic Programming
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    Chapter 22 Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming
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    Chapter 23 Evolution of Vertex and Pixel Shaders
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    Chapter 24 Evolve Schema Directly Using Instruction Matrix Based Genetic Programming
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    Chapter 25 Evolving Defence Strategies by Genetic Programming
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    Chapter 26 Extending Particle Swarm Optimisation via Genetic Programming
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    Chapter 27 Inducing Diverse Decision Forests with Genetic Programming
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    Chapter 28 mGGA: The meta-Grammar Genetic Algorithm
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    Chapter 29 On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features
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    Chapter 30 Relative Fitness and Absolute Fitness for Co-evolutionary Systems
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    Chapter 31 Teams of Genetic Predictors for Inverse Problem Solving
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    Chapter 32 Understanding Evolved Genetic Programs for a Real World Object Detection Problem
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    Chapter 33 Undirected Training of Run Transferable Libraries
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    Chapter 34 Genetic Programming
Attention for Chapter 23: Evolution of Vertex and Pixel Shaders
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Chapter title
Evolution of Vertex and Pixel Shaders
Chapter number 23
Book title
Genetic Programming
Published by
Springer, Berlin, Heidelberg, March 2005
DOI 10.1007/978-3-540-31989-4_23
Book ISBNs
978-3-54-025436-2, 978-3-54-031989-4
Authors

Marc Ebner, Markus Reinhardt, Jürgen Albert, Ebner, Marc, Reinhardt, Markus, Albert, Jürgen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Italy 1 5%
Canada 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Professor > Associate Professor 4 21%
Researcher 4 21%
Student > Ph. D. Student 3 16%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 13 68%
Biochemistry, Genetics and Molecular Biology 1 5%
Physics and Astronomy 1 5%
Engineering 1 5%
Unknown 3 16%