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: Glowworm Swarm Optimization
    sub title: Theory, Algorithms, and Applications
  name:
    name part: Kaipa, Krishnanand N.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ghose, Debasish.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 248 p. 122 illus. online resource.
  abstract: This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.
  table of contents: Preface -- Acknowledgements -- 1 From Natural to Synthetic Swarms -- 2 Glowworm Swarm Optimization: Algorithm Development -- 3 Theoretical Foundations -- 4 Multimodal Function Optimization -- 5 Experiments using Physical Simulations and Real Robots -- 6 Applications to Ubiquitous Computing Environments -- 7 Pursuit of Multiple Mobile Signal Sources -- 8 GSO Applications and Extensions.
  note: by Krishnanand N. Kaipa, Debasish Ghose.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Algorithms
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Algorithms
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 698
  identifier: 9783319515953
  identifier: http://dx.doi.org/10.1007/978-3-319-51595-3
  record info:
    record creation date: 170110
    record change date: 20170110134850.0
    record identifier: 978-3-319-51595-3