University of Kabianga
Amazon cover image
Image from Amazon.com

Genetic programming : an introduction on the automatic evolution of computer programs and its applications / Wolfgang Banzhaf ... [et al.].

Contributor(s): Material type: TextTextPublication details: San Francisco, Calif. : Morgan Kaufmann Publishers ; Heidelburg : Dpunkt-verlag, c1998.Description: xix, 470 p. : ill. ; 25 cmISBN:
  • 155860510X (MKP)
  • 3920993586 (dpunkt)
Subject(s): DDC classification:
  • 006.3/1 21
LOC classification:
  • QA76.623 .G46 1998
Contents:
Foreword / John R. Koza -- I. Prerequisites of Genetic Programming. 1. Genetic Programming as Machine Learning. 2. Genetic Programming and Biology. 3. Computer Science and Mathematical Basics. 4. Genetic Programming as Evolutionary Computation -- II. Genetic Programming Fundamentals. 5. Basic Concepts - The Foundation. 6. Crossover - The Center of the Storm. 7. Genetic Programming and Emergent Order. 8. Analysis - Improving Genetic Programming with Statistics -- III. Advanced Topics in Genetic Programming. 9. Different Varieties of Genetic Programming. 10. Advanced Genetic Programming. 11. Implementation - Making Genetic Programming Work. 12. Applications of Genetic Programming. 13. Summary and Perspectives. A. Printed and Recorded Resources -- B. Information Available on the Internet -- C. GP Software -- D. Events.
Summary: This unique introduction to GP provides a detailed overview of the subject and its antecedents with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Barcode
General Collection Main Campus Library QA 76.63 .G46 1998 (Browse shelf(Opens below)) Available 20091280

Includes bibliographical references (p. 399-443) and indexes.

Foreword / John R. Koza -- I. Prerequisites of Genetic Programming. 1. Genetic Programming as Machine Learning. 2. Genetic Programming and Biology. 3. Computer Science and Mathematical Basics. 4. Genetic Programming as Evolutionary Computation -- II. Genetic Programming Fundamentals. 5. Basic Concepts - The Foundation. 6. Crossover - The Center of the Storm. 7. Genetic Programming and Emergent Order. 8. Analysis - Improving Genetic Programming with Statistics -- III. Advanced Topics in Genetic Programming. 9. Different Varieties of Genetic Programming. 10. Advanced Genetic Programming. 11. Implementation - Making Genetic Programming Work. 12. Applications of Genetic Programming. 13. Summary and Perspectives. A. Printed and Recorded Resources -- B. Information Available on the Internet -- C. GP Software -- D. Events.

This unique introduction to GP provides a detailed overview of the subject and its antecedents with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.

There are no comments on this title.

to post a comment.