Cartesian Genetic Programming

  • Julian F. Miller

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Julian F. Miller
    Pages 17-34
  3. James Alfred Walker, Julian F. Miller, Paul Kaufmann, Marco Platzner
    Pages 35-99
  4. Simon L. Harding, Julian F. Miller, Wolfgang Banzhaf
    Pages 101-124
  5. Lukas Sekanina, James Alfred Walker, Paul Kaufmann, Marco Platzner
    Pages 125-179
  6. Lukas Sekanina, Simon L. Harding, Wolfgang Banzhaf, Taras Kowaliw
    Pages 181-215
  7. Lukas Sekanina, Zdenek Vasicek
    Pages 217-230
  8. Simon L. Harding, Wolfgang Banzhaf
    Pages 231-253
  9. Gul Muhammad Khan, Julian F. Miller
    Pages 255-291
  10. Steve DiPaola, Nathan Sorenson
    Pages 293-307
  11. Stephen L. Smith, James Alfred Walker, Julian F. Miller
    Pages 309-336
  12. Back Matter
    Pages 337-344

About this book

Introduction

Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences.

 

This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.

 

Keywords

Cartesian Genetic Programming (CGP) Directed Graphs Electronic Circuits Evolutionary Art Evolutionary Computing (EC) Evolvable Hardware Genetic Programming (GP) Image Processing Modular (Embedded) CGP Natural Computing Self-modifying CGP

Editors and affiliations

  • Julian F. Miller
    • 1
  1. 1.Dept. of ElectronicsThe University of YorkYorkUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17310-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-17309-7
  • Online ISBN 978-3-642-17310-3
  • Series Print ISSN 1619-7127
  • About this book