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: Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing
  name:
    name part: Aguiar e Oliveira Junior, Hime.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ingber, Lester.
    role:
      role term: author.
  name:
    name part: Petraglia, Antonio.
    role:
      role term: author.
  name:
    name part: Rembold Petraglia, Mariane.
    role:
      role term: author.
  name:
    name part: Augusta Soares Machado, Maria.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 207 p. 59 illus. online resource.
  abstract: Stochastic global optimization is a very important subject, that has applications in virtually all areas of science and technology. Therefore there is nothing more opportune than writing a book about a successful and mature algorithm that turned out to be a good tool in solving difficult problems. Here we present some techniques for solving several problems by means of Fuzzy Adaptive Simulated Annealing (Fuzzy ASA), a fuzzy-controlled version of ASA, and by ASA itself. ASA is a sophisticated global optimization algorithm that is based upon ideas of the simulated annealing paradigm, coded in the C programming language and developed to statistically find the best global fit of a nonlinear constrained, non-convex cost function over a multi-dimensional space. By presenting detailed examples of its application we want to stimulate the reader’s intuition and make the use of Fuzzy ASA (or regular ASA) easier for everyone wishing to use these tools to solve problems. We kept formal mathematical requirements to a minimum and focused on continuous problems, although ASA is able to handle discrete optimization tasks as well. This book can be used by researchers and practitioners in engineering and industry, in courses on optimization for advanced undergraduate and graduate levels, and also for self-study.
  table of contents: Global optimization and its applications -- Heuristic methods -- Fuzzy adaptive simulated annealing -- Unconstrained optimization -- Constrained optimization -- Applications to signal processing -- Fuzzy modeling with fuzzy adaptive simulated annealing -- Statistical estimation and global optimization -- Nonlinear equation solving -- Space-filling curves and fuzzy ASA -- Epilogue.
  note: by Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, Maria Augusta Soares Machado.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Intelligent Systems Reference Library, 35
  identifier: 9783642274794
  identifier: http://dx.doi.org/10.1007/978-3-642-27479-4
  record info:
    record creation date: 120125
    record change date: 20151125141027.0
    record identifier: 978-3-642-27479-4