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: Metaheuristics Algorithms in Power Systems
  name:
    name part: Cuevas, Erik.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Barocio Espejo, Emilio.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Conde Enríquez, Arturo.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 221 p. online resource.
  abstract: This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.
  table of contents: Chapter 1. Introduction to metaheuristics methods -- Chapter 2. Metaheuristic schemes for parameter estimation in induction motors -- Chapter 3. Non-conventional overcurrent relays coordination -- Chapter 4. Overcurrent relay coordination, robustness and fast solutions etc.
  note: by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez.
  subject:
    topic: Computational intelligence
  subject:
    topic: Energy systems
  subject:
    topic: Power electronics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational Intelligence
  subject:
    topic: Energy Systems
  subject:
    topic: Power Electronics, Electrical Machines and Networks
  subject:
    topic: Artificial Intelligence
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 822
  identifier: 9783030115937
  identifier: https://doi.org/10.1007/978-3-030-11593-7
  record info:
    record creation date: 190111
    record change date: 20191022112045.0
    record identifier: 978-3-030-11593-7