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: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
    sub title: International Conference held at Leiden University, July 10-13, 2013
  name:
    name part: Emmerich, Michael.
    role:
      role term: editor.
  name:
    name part: Deutz, Andre.
    role:
      role term: editor.
  name:
    name part: Schuetze, Oliver.
    role:
      role term: editor.
  name:
    name part: Bäck, Thomas.
    role:
      role term: editor.
  name:
    name part: Tantar, Emilia.
    role:
      role term: editor.
  name:
    name part: Tantar, Alexandru-Adrian.
    role:
      role term: editor.
  name:
    name part: Moral, Pierre Del.
    role:
      role term: editor.
  name:
    name part: Legrand, Pierrick.
    role:
      role term: editor.
  name:
    name part: Bouvry, Pascal.
    role:
      role term: editor.
  name:
    name part: Coello, Carlos A.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 324 p. 140 illus. online resource.
  abstract: Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines. These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
  table of contents: Machine Learning and Probabilistic Models -- Complex Networks and Evolutionary Computation -- Diversity Oriented Optimization -- Set-oriented Numerics and Evolutionary Multiobjective Optimization -- Genetic Programming -- Robust Optimization.
  note: edited by Michael Emmerich, Andre Deutz, Oliver Schuetze, Thomas Bäck, Emilia Tantar, Alexandru-Adrian Tantar, Pierre Del Moral, Pierrick Legrand, Pascal Bouvry, Carlos A. Coello.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Intelligent Systems and Computing, 227
  identifier: 9783319011288
  identifier: http://dx.doi.org/10.1007/978-3-319-01128-8
  record info:
    record creation date: 130613
    record change date: 20151031151112.0
    record identifier: 978-3-319-01128-8