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: Column Generation
  name:
    name part: Desaulniers, Guy.
    role:
      role term: editor.
  name:
    name part: Desrosiers, Jacques.
    role:
      role term: editor.
  name:
    name part: Solomon, Marius M.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 358 p. online resource.
  abstract: Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by François Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).
  table of contents: A Primer in Column Generation -- Shortest Path Problems with Resource Constraints -- Vehicle Routing Problem with Time Windows -- Branch-and-Price Heuristics: A Case Study on the Vehicle Routing Problem with Time Windows -- Cutting Stock Problems -- Large-Scale Models in the Airline Industry -- Robust Inventory Ship Routing by Column Generation -- Ship Scheduling with Recurring Visits and Visit Separation Requirements -- Combining Column Generation and Lagrangian Relaxation -- Dantzig-Wolfe Decomposition for Job Shop Scheduling -- Applying Column Generation to Machine Scheduling -- Implementing Mixed Integer Column Generation.
  note: edited by Guy Desaulniers, Jacques Desrosiers, Marius M. Solomon.
  subject:
    topic: Business
  subject:
    topic: Production management
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Mathematical optimization
  subject:
    topic: Management science
  subject:
    topic: Business and Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Optimization
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Operations Management
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387254869
  identifier: http://dx.doi.org/10.1007/b135457
  record info:
    record creation date: 100301
    record change date: 20151204160353.0
    record identifier: 978-0-387-25486-9