rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Genetic Systems Programming
    sub title: Theory and Experiences
  name:
    name part: Nedjah, Nadia.
    role:
      role term: editor.
  name:
    name part: Mourelle, Luiza de Macedo.
    role:
      role term: editor.
  name:
    name part: Abraham, Ajith.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 234 p. 114 illus. online resource.
  abstract: 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.
  table of contents: Evolutionary Computation: from Genetic Algorithms to Genetic Programming -- Automatically Defined Functions in Gene Expression Programming -- Evolving Intrusion Detection Systems -- Evolutionary Pattern Matching Using Genetic Programming -- Genetic Programming in Data Modelling -- Stock Market Modeling Using Genetic Programming Ensembles -- Evolutionary Digital Circuit Design Using Genetic Programming -- Evolving Complex Robotic Behaviors Using Genetic Programming -- Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming.
  note: edited by Nadia Nedjah, Luiza de Macedo Mourelle, Ajith Abraham.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 13
  identifier: 9783540324980
  identifier: http://dx.doi.org/10.1007/3-540-32498-4
  record info:
    record creation date: 100301
    record change date: 20151204155239.0
    record identifier: 978-3-540-32498-0