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Inspired by Nature

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Cover of 'Inspired by Nature'

Table of Contents

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    Book Overview
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    Chapter 1 Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future
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    Chapter 2 Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming
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    Chapter 3 Designing Digital Systems Using Cartesian Genetic Programming and VHDL
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    Chapter 4 Evolution in Nanomaterio: The NASCENCE Project
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    Chapter 5 Using Reed-Muller Expansions in the Synthesis and Optimization of Boolean Quantum Circuits
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    Chapter 6 Some Remarks on Code Evolution with Genetic Programming
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    Chapter 7 Cartesian Genetic Programming for Control Engineering
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    Chapter 8 Combining Local and Global Search: A Multi-objective Evolutionary Algorithm for Cartesian Genetic Programming
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    Chapter 9 Approximate Computing: An Old Job for Cartesian Genetic Programming?
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    Chapter 10 Breaking the Stereotypical Dogma of Artificial Neural Networks with Cartesian Genetic Programming
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    Chapter 11 Multi-step Ahead Forecasting Using Cartesian Genetic Programming
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    Chapter 12 Medical Applications of Cartesian Genetic Programming
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    Chapter 13 Chemical Computing Through Simulated Evolution
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    Chapter 14 Sub-Symbolic Artificial Chemistries
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    Chapter 15 Discovering Boolean Gates in Slime Mould
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    Chapter 16 Artificial Development
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    Chapter 17 Computers from Plants We Never Made: Speculations
Attention for Chapter 6: Some Remarks on Code Evolution with Genetic Programming
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Citations

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Chapter title
Some Remarks on Code Evolution with Genetic Programming
Chapter number 6
Book title
Inspired by Nature
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-67997-6_6
Book ISBNs
978-3-31-967996-9, 978-3-31-967997-6
Authors

Wolfgang Banzhaf

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Researcher 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Engineering 1 25%
Unknown 2 50%