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Cartesian Genetic Programming / edited by Julian F. Miller.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Natural computing series 1619-7127
- Natural Computing Series, 1619-7127
- Language:
- English
- Subjects (All):
- Computers.
- Electrical engineering.
- Artificial intelligence.
- Computer-aided engineering.
- Application software.
- Theory of Computation.
- Electrical Engineering.
- Artificial Intelligence.
- Computer-Aided Engineering (CAD, CAE) and Design.
- Computer Appl. in Arts and Humanities.
- Local Subjects:
- Theory of Computation.
- Electrical Engineering.
- Artificial Intelligence.
- Computer-Aided Engineering (CAD, CAE) and Design.
- Computer Appl. in Arts and Humanities.
- Physical Description:
- 1 online resource (XXII, 346 pages).
- Edition:
- First edition 2011.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- Introduction
- Cartesian Genetic Programming
- Modular Cartesian Genetic Programming
- Self-modifying Cartesian Genetic Programming
- Evolution of Electronic Circuits
- Image Processing
- Developmental Approaches
- Artificial Neural Approaches
- Medical Applications
- Hardware Acceleration
- Control Applications
- Evolutionary Art
- Future Directions
- App. A, A Bibliography of CGP Papers
- App. B, CGP Software.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-17310-3
- 9783642173103
- Access Restriction:
- Restricted for use by site license.
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