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: Evolutionary algorithms in water resources
  name:
    name part: Kumar, Dasika Nagesh
    role:
      role term: editor.
  name:
    name part: Raju, Komaragiri Srinivasa
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2022
    copyright date: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: viii, 204 pages : illustrations, maps ; 24 cm.
  abstract: Evolutionary algorithms and allied fields are getting more visibility as well as familiarity due to their numerous flexibilities such as handling high-dimensional non-linear problems and more. This book will help budding researchers to formulate their research problems, and comprises ten, three on optimization, five on machine learning algorithms, one on Internet of things and one on remote sensing. In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
  note: editors, Dasika Nagesh Kumar and Komaragiri Srinivasa Raju.
  note: Includes bibliographical references.
  subject:
    topic: Water resources development
    topic: Data processing
  subject:
    topic: Water-supply
  subject:
    topic: Evolutionary computation
  classification: TD353 .E96 2022
  classification: 333.910028563823
  related item:
    title info:
      title: In focus - special book series
  identifier: 1789063248
  identifier: 9781789063240
  record info:
    record content source: YDX
    record creation date: 220709
    record change date: 20250304142408.8
    record identifier: in00004762557