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: Applied evolutionary algorithms for engineers with Python
  name:
    name part: Scardua, Leonardo Azevedo
    name part: 1966-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ProQuest (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  note: Leonardo Azevedo Scardua, Federal Institute of Technology of Espírito Santo, Vitoria, Brazil.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Evolutionary programming (Computer science)
  subject:
    topic: Evolutionary computation
  subject:
    topic: Genetic algorithms
  subject:
    topic: Python (Computer program language)
  classification: QA76.618 .S33 2020
  classification: 006.3/823
  related item:
    identifier: (DLC) 2020038788
  identifier: 9781000349740 (electronic bk.)
  identifier: 1000349748 (electronic bk.)
  identifier: 9780367263133
  identifier: 0367263130
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NhCcYBP
    record creation date: 210319
    record change date: 20250816223543.1
    record identifier: in00004402544