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Genetic Systems Programming

Theory and Experiences

  • Book
  • © 2006

Overview

Editors:
  1. Nadia Nedjah

    1. Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Maracanã, Rio de Janeiro, Brazil

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  2. Luiza de Macedo Mourelle

    1. Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Maracanã, Rio de Janeiro, Brazil

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  3. Ajith Abraham

    1. School for Computer Science and, Engineering, Chung-Ang University, Seoul, Korea Republic of (South Korea)

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

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XXII
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  2. Evolutionary Computation: from Genetic Algorithms to Genetic Programming

    • Ajith Abraham, Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 1-20

  3. Automatically Defined Functions in Gene Expression Programming

    • Cândida Ferreira
    Pages 21-56

  4. Evolving Intrusion Detection Systems

    • Ajith Abraham, Crina Grosan
    Pages 57-79

  5. Evolutionary Pattern Matching Using Genetic Programming

    • Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 81-104

  6. Genetic Programming in Data Modelling

    • Halina Kwasnicka, Ewa Szpunar-Huk
    Pages 105-130

  7. Stock Market Modeling Using Genetic Programming Ensembles

    • Crina Grosan, Ajith Abraham
    Pages 131-146

  8. Evolutionary Digital Circuit Design Using Genetic Programming

    • Nadia Nedjah, Luiza de Macedo Mourelle
    Pages 147-171

  9. Evolving Complex Robotic Behaviors Using Genetic Programming

    • Michael Botros
    Pages 173-191

  10. Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming

    • Douglas Mota Dias, Marco Aurélio C. Pacheco, José F. M. Amaral
    Pages 193-227

  11. Back Matter

    Pages 229-232
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Keywords

About this book

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.

Editors and Affiliations

  • Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Maracanã, Rio de Janeiro, Brazil

    Nadia Nedjah, Luiza de Macedo Mourelle

  • School for Computer Science and, Engineering, Chung-Ang University, Seoul, Korea Republic of (South Korea)

    Ajith Abraham

Bibliographic Information

  • Book Title: Genetic Systems Programming

  • Book Subtitle: Theory and Experiences

  • Editors: Nadia Nedjah, Luiza de Macedo Mourelle, Ajith Abraham

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/3-540-32498-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2006

  • Hardcover ISBN: 978-3-540-29849-6Published: 12 January 2006

  • Softcover ISBN: 978-3-642-06753-2Published: 12 February 2010

  • eBook ISBN: 978-3-540-32498-0Published: 21 July 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXII, 234

  • Number of Illustrations: 114 b/w illustrations

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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