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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 Heuristic Learning Based on Genetic Programming
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    Chapter 2 Evolving Color Constancy for an Artificial Retina
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    Chapter 3 Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
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    Chapter 4 An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
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    Chapter 5 Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming
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    Chapter 6 CAGE: A Tool for Parallel Genetic Programming Applications
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    Chapter 7 Ripple Crossover in Genetic Programming
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    Chapter 8 Evolving Receiver Operating Characteristics for Data Fusion
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    Chapter 9 An Adaptive Mapping for Developmental Genetic Programming
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    Chapter 10 A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representations
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    Chapter 11 Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the Study of the Evolution of Size
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    Chapter 12 General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
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    Chapter 13 Evolving Modules in Genetic Programming by Subtree Encapsulation
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    Chapter 14 Evolution of Affine Transformations and Iterated Function Systems Using Hierarchical Evolution Strategy
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    Chapter 15 Evolving Turing Machines for Biosequence Recognition and Analysis
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    Chapter 16 Neutrality and the Evolvability of Boolean Function Landscape
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    Chapter 17 Polymorphism and Genetic Programming
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    Chapter 18 Programmable Smart Membranes: Using Genetic Programming to Evolve Scalable Distributed Controllers for a Novel Self-Reconfigurable Modular Robotic Application
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    Chapter 19 A GP Artificial Ant for image processing: preliminary experiments with EASEA.
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    Chapter 20 Feature Extraction for the k-Nearest Neighbour Classifier with Genetic Programming
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    Chapter 21 An Indirect Block-Oriented Representation for Genetic Programming
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    Chapter 22 Raising the Dead: Extending Evolutionary Algorithms with a Case-Based Memory
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    Chapter 23 Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem
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    Chapter 24 Linear-Tree GP and Its Comparison with Other GP Structures
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    Chapter 25 Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming
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    Chapter 26 Adaption of Operator Probabilities in Genetic Programming
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    Chapter 27 Crossover in Grammatical Evolution: The Search Continues
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    Chapter 28 Computational Complexity, Genetic Programming, and Implications
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    Chapter 29 Genetic Programming for Financial Time Series Prediction
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    Chapter 30 Active Handwritten Character Recognition Using Genetic Programming
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Citations

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Title
Genetic Programming
Published by
Springer Berlin Heidelberg, June 2003
DOI 10.1007/3-540-45355-5
ISBNs
978-3-54-041899-3, 978-3-54-045355-0
Editors

Miller, Julian, Tomassini, Marco, Lanzi, Pier Luca, Ryan, Conor, Tettamanzi, Andrea G. B., Langdon, William B.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 4%
Unknown 23 96%
Readers by discipline Count As %
Computer Science 1 4%
Unknown 23 96%

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