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: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
  name:
    name part: Ünal, Muhammet.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ak, Ayça.
    role:
      role term: author.
  name:
    name part: Topuz, Vedat.
    role:
      role term: author.
  name:
    name part: Erdal, Hasan.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 88 p. online resource.
  abstract: Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.
  table of contents: Artificial Neural Networks -- Genetic Algorithm -- Ant Colony Optimization (ACO) -- An Application for Process System Control.
  note: by Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Control
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 449
  identifier: 9783642329005
  identifier: http://dx.doi.org/10.1007/978-3-642-32900-5
  record info:
    record creation date: 120913
    record change date: 20151125212509.0
    record identifier: 978-3-642-32900-5