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: Cooperative and Noncooperative Multi-Level Programming
  name:
    name part: Nishizaki, Ichiro.
    role:
      role term: editor.
  name:
    name part: Sakawa, Masatoshi.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 250 p. 19 illus. online resource.
  abstract: This addition to the OPERATIONS RESEARCH/COMPUTER SCIENCE INTERFACES Series represents a sorely-needed advance in decision science and game theory literature. Drs. Sakawa and Nishizaki present their combined work in applying both cooperative and noncooperative game theory in the solving of real-world problems in fuzzy, multiobjective, and uncertain environments, and the potential applications of their approaches range from corporate environments to economics, applied mathematics, and policy decision making. Sakawa has gained recognition for his work on genetic algorithms, and shows in this book how they can be used when linear programming doesn’t suffice. Nishizaki has worked extensively in systems engineering, especially in game theory, multiobjective decision making and fuzzy mathematical programming, and is doing much to advance theory and practice in real-world decision science. The monograph first provides a review of the optimization concepts that underlie the rest of the book: fuzzy programming; multiobjective programming; stochastic programming; and genetic algorithms. The authors then apply these concepts to noncooperative decision making in hierarchical organizations, using multiobjective and two-level linear programming, and then consider cooperative decision making in hierarchical organizations. They then present applications in a work force assignment problem; a transportation problem; and an inventory and production problem in supply chain management. After examining possible future directions in two-level programming, including use of metaheuristics and genetic algorithms to help manage large numbers of integer decision variables, they present conclusions. .
  table of contents: Optimization Concepts and Computational Methods -- Noncooperative Decision Making in Hierarchical Organizations -- Cooperative Decision Making in Hierarchical Organizations -- Some applications.
  note: edited by Ichiro Nishizaki, Masatoshi Sakawa.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Economic theory
  subject:
    topic: Econometrics
  subject:
    topic: Economics
  subject:
    topic: Econometrics
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Economic Theory/Quantitative Economics/Mathematical Methods
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  classification: HB139-141
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Operations Research/Computer Science Interfaces Series, 48
  identifier: 9781441906762
  identifier: http://dx.doi.org/10.1007/978-1-4419-0676-2
  record info:
    record creation date: 100301
    record change date: 20151204160948.0
    record identifier: 978-1-4419-0676-2