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: Integer Optimization by Local Search
    sub title: A Domain-Independent Approach
  name:
    name part: Walser, Joachim P.
    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: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 1999
    edition: 1st ed. 1999.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 144 p. online resource.
  abstract: Integer Optimization addresses a wide spectrum of practically important optimization problems and represents a major challenge for algorithmics. The goal of integer optimization is to solve a system of constraints and optimization criteria over discrete variables. Integer Optimization by Local Search introduces a new approach to domain-independent integer optimization, which, unlike traditional strategies, is based on local search. It develops the central concepts and strategies of integer local search and describes possible combinations with classical methods from linear programming. The surprising effectiveness of the approach is demonstrated in a variety of case studies on large-scale, realistic problems, including production planning, timetabling, radar surveillance, and sports scheduling. The monograph is written for practitioners and researchers from artificial intelligence and operations research.
  table of contents: Frameworks for Combinatorial Optimization -- Local Search for Integer Constraints -- Case Studies Methodology -- Time-Tabling and Sports Scheduling -- Covering and Assignment -- Capacitated Production Planning -- Extensions.
  note: by Joachim P. Walser.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Algorithms
  subject:
    topic: Computer science-Mathematics
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: Calculus of variations
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Discrete Mathematics in Computer Science
  subject:
    topic: IT in Business
  subject:
    topic: Calculus of Variations and Optimal Control; Optimization
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 1637
  identifier: 9783540483694
  identifier: https://doi.org/10.1007/3-540-48369-1
  record info:
    record creation date: 121227
    record change date: 20191023222048.0
    record identifier: 978-3-540-48369-4