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Genetic Programming Theory and Practice V

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Cover of 'Genetic Programming Theory and Practice V'

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 Better Solutions Faster: Soft Evolution of Robust Regression Models InParetogeneticprogramming
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    Chapter 3 Manipulation of Convergence in Evolutionary Systems
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    Chapter 4 Large-Scale, Time-Constrained Symbolic Regression-Classification
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    Chapter 5 Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Practitionercomputer Interaction
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    Chapter 6 Towards an Information Theoretic Framework for Genetic Programming
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    Chapter 7 Investigating Problem Hardness of Real Life Applications
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    Chapter 8 Improving the Scalability of Generative Representations for Openended Design
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    Chapter 9 Programstructure-Fitnessdisconnect and Its Impact on Evolution in Genetic Programming
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    Chapter 10 Genetic Programmingwith Reuse of Known Designs for Industrially Scalable, Novel Circuit Design
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    Chapter 11 Robust engineering design of electronic circuits with active components using genetic programming and bond Graphs
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    Chapter 12 Trustable symbolic regression models: using ensembles, interval arithmetic and pareto fronts to develop robust and trust-aware models
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    Chapter 13 Improving Performance and Cooperation in Multi-Agent Systems
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    Chapter 14 An Empirical Study of Multi-Objective Algorithms for Stock Ranking
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    Chapter 15 Using GP and Cultural Algorithms to Simulate the Evolution of an Ancient Urban Center
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Citations

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Title
Genetic Programming Theory and Practice V
Published by
Springer US, December 2007
DOI 10.1007/978-0-387-76308-8
ISBNs
978-0-387-76307-1, 978-0-387-76308-8
Editors

Riolo, Rick, Soule, Terence, Worzel, Bill

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Pakistan 1 2%
Australia 1 2%
South Africa 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 10 19%
Student > Master 8 15%
Student > Bachelor 7 13%
Professor > Associate Professor 4 7%
Other 9 17%
Unknown 5 9%
Readers by discipline Count As %
Computer Science 24 44%
Engineering 9 17%
Economics, Econometrics and Finance 3 6%
Agricultural and Biological Sciences 2 4%
Physics and Astronomy 2 4%
Other 7 13%
Unknown 7 13%