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: Hyper-Heuristics: Theory and Applications
  name:
    name part: Pillay, Nelishia.
    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: Qu, Rong.
    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: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 130 p. online resource.
  abstract: This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners.
  table of contents: Introduction to Hyper-Heuristics -- Selection Constructive Hyper-Heuristics -- Selection Pertubative Hyper-Heuristics -- Generation Constructive Hyper-Heuristics -- Generation Perturbative Hyper-Heuristics -- Theoretical Aspect: A Formal Definition -- Vehicle Routing Problems -- Nurse Rostering Problems -- Packing Problems -- Examination Timetabling Problems -- Cross-Domain Hyper-Heuristics -- Advances in Hyper-Heuristics -- Conclusions and Future Research Directions.
  note: by Nelishia Pillay, Rong Qu.
  subject:
    topic: Computers
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Theory of Computation
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Optimization
  subject:
    topic: Operations Research/Decision Theory
  classification: QA75.5-76.95
  classification: QA76.63
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Natural Computing Series
  identifier: 9783319965147
  identifier: https://doi.org/10.1007/978-3-319-96514-7
  record info:
    record creation date: 181005
    record change date: 20191220125558.0
    record identifier: 978-3-319-96514-7