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Genetic Programming Theory and Practice II

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Cover of 'Genetic Programming Theory and Practice II'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Programming: Theory and Practice
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    Chapter 2 Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda Abstraction
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    Chapter 3 Using Genetic Programming in Industrial Statistical Model Building
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    Chapter 4 Population Sizing for Genetic Programming Based on Decision-Making
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    Chapter 5 Considering the Roles of Structure in Problem Solving by Computer
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    Chapter 6 Lessons Learned Using Genetic Programming in a Stock Picking Context
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    Chapter 7 Favourable Biasing of Function Sets Using Run Transferable Libraries
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    Chapter 8 Toward Automated Design of Industrial-Strength Analog Circuits by Means of Genetic Programming
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    Chapter 9 Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming
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    Chapter 10 Does Genetic Programming Inherently Adopt Structured Design Techniques?
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    Chapter 11 Genetic Programming of an Algorithmic Chemistry
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    Chapter 12 ACGP: Adaptable Constrained Genetic Programming
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    Chapter 13 Using Genetic Programming to Search for Supply Chain Reordering Policies
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    Chapter 14 Cartesian Genetic Programming and the Post Docking Filtering Problem
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    Chapter 15 Listening to Data: Tuning a Genetic Programming System
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    Chapter 16 Incident Detection on Highways
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    Chapter 17 Pareto-Front Exploitation in Symbolic Regression
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    Chapter 18 An Evolved Antenna for Deployment on Nasa’s Space Technology 5 Mission
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Title
Genetic Programming Theory and Practice II
Published by
Springer US, March 2006
DOI 10.1007/b101112
ISBNs
978-0-387-23253-9, 978-0-387-23254-6
Editors

O’Reilly, Una-May, Yu, Tina, Riolo, Rick, Worzel, Bill

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Serbia 1 2%
Italy 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Student > Master 8 13%
Researcher 7 12%
Student > Bachelor 3 5%
Professor > Associate Professor 3 5%
Other 5 8%
Unknown 26 43%
Readers by discipline Count As %
Computer Science 18 30%
Engineering 5 8%
Physics and Astronomy 2 3%
Mathematics 2 3%
Business, Management and Accounting 1 2%
Other 6 10%
Unknown 26 43%