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: Hybrid Metaheuristics
    sub title: An Emerging Approach to Optimization
  name:
    name part: Blum, Christian.
    role:
      role term: editor.
  name:
    name part: Aguilera, Maria José Blesa.
    role:
      role term: editor.
  name:
    name part: Roli, Andrea.
    role:
      role term: editor.
  name:
    name part: Sampels, Michael.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 290 p. online resource.
  abstract: Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming. The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.
  table of contents: Hybrid Metaheuristics: An Introduction -- Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization -- The Relation Between Complete and Incomplete Search -- Hybridizations of Metaheuristics With Branch & Bound Derivates -- Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems -- Hybrids of Constructive Metaheuristics and Constraint Programming: A Case Study with ACO -- Hybrid Metaheuristics for Packing Problems -- Hybrid Metaheuristics for Multi-objective Combinatorial Optimization -- Multilevel Refinement for Combinatorial Optimisation: Boosting Metaheuristic Performance.
  note: edited by Christian Blum, Maria José Blesa Aguilera, Andrea Roli, Michael Sampels.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 114
  identifier: 9783540782957
  identifier: http://dx.doi.org/10.1007/978-3-540-78295-7
  record info:
    record creation date: 100301
    record change date: 20151204183847.0
    record identifier: 978-3-540-78295-7