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: Computational Management Science
    sub title: State of the Art 2014
  name:
    name part: Fonseca, Raquel J.
    role:
      role term: editor.
  name:
    name part: Weber, Gerhard-Wilhelm.
    role:
      role term: editor.
  name:
    name part: Telhada, João.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    edition: 1st ed. 2016.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 245 p. 39 illus., 17 illus. in color. online resource.
  abstract: This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.
  table of contents: Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.
  note: edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada.
  subject:
    topic: Business
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Management science
  subject:
    topic: Energy industries
  subject:
    topic: Business and Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Energy Economics
  subject:
    topic: Quantitative Finance
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Economics and Mathematical Systems, 682
  identifier: 9783319204307
  identifier: http://dx.doi.org/10.1007/978-3-319-20430-7
  record info:
    record creation date: 151222
    record change date: 20151222074014.0
    record identifier: 978-3-319-20430-7