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: Heuristic Search
    sub title: The Emerging Science of Problem Solving
  name:
    name part: Salhi, Saïd.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 213 p. 17 illus. online resource.
  abstract: This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this exciting decision science-based subject. It will provide the reader with challenging and lively methodologies through which they will be able to design and analyse their own techniques.
  table of contents: Chapter 1: Introduction -- Chapter 2: Improvement-Only Heuristics -- Chapter 3: Not-Necessary Improving Heuristics -- Chapter 4: Population-based Heuristics -- Chapter 5: Hybridisation Search -- Chapter 6: Implementation Issues -- Chapter 7 Applications, Conclusion and Research Challenges.
  note: by Saïd Salhi.
  subject:
    topic: Business
  subject:
    topic: Management information systems
  subject:
    topic: Big data
  subject:
    topic: Computer science
  subject:
    topic: Algorithms
  subject:
    topic: Business and Management
  subject:
    topic: Business Information Systems
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Big Data/Analytics
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Computer Science, general
  classification: HD30.2
  classification: 658.4038
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319493558
  identifier: http://dx.doi.org/10.1007/978-3-319-49355-8
  record info:
    record creation date: 170220
    record change date: 20171115164502.0
    record identifier: 978-3-319-49355-8