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Genetic Systems Programming

Theory and Experiences

  • Nadia Nedjah
  • Luiza de Macedo Mourelle
  • Ajith Abraham

Part of the Studies in Computational Intelligence book series (SCI, volume 13)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Ajith Abraham, Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 1-20
  3. Ajith Abraham, Crina Grosan
    Pages 57-79
  4. Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 81-104
  5. Halina Kwasnicka, Ewa Szpunar-Huk
    Pages 105-130
  6. Crina Grosan, Ajith Abraham
    Pages 131-146
  7. Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 147-171
  8. Douglas Mota Dias, Marco Aurélio C. Pacheco, José F. M. Amaral
    Pages 193-227
  9. Back Matter
    Pages 229-232

About this book

Introduction

Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.

Keywords

Pattern Matching algorithms circuit design computational intelligence data mining design evolution evolutionary computation genetic algorithms genetic programming microcontroller modeling operating system programming robot

Editors and affiliations

  • Nadia Nedjah
    • 1
  • Luiza de Macedo Mourelle
    • 1
  • Ajith Abraham
    • 2
  1. 1.Faculdade de EngenhariaUniversidade do Estado do Rio de JaneiroMaracanã, Rio de JaneiroBrazil
  2. 2.School for Computer Science and, EngineeringChung-Ang UniversitySeoulKorea Republic of (South Korea)

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-32498-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-29849-6
  • Online ISBN 978-3-540-32498-0
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site