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: Meta-Heuristics
    sub title: Advances and Trends in Local Search Paradigms for Optimization
  name:
    name part: Voss, Stefan.
    role:
      role term: creator
  name:
    name part: Martello, Silvano.
  name:
    name part: Osman, Ibrahim H.
  name:
    name part: Roucairol, Catherine.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xxu
    date issued: 1999
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xii, 511 pages)
  abstract: Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated.
  note: edited by Stefan Voß, Silvano Martello, Ibrahim H. Osman, Catherine Roucairol.
  note: Electronic resource.
  subject:
    topic: Economics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  subject:
    topic: Artificial intelligence
  subject:
    topic: Economics
  subject:
    topic: Mathematical optimization
  subject:
    topic: Operations research
  classification: HD30.23
  classification: 658.40301
  identifier: 9781461557753 (electronic bk.)
  identifier: 1461557755 (electronic bk.)
  identifier: 9781461376460
  identifier: 1461376467
  identifier: 1461557755
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260420215338.7
    record identifier: in00003559922
    language of cataloging:
      language term: eng