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: NEO 2015
    sub title: results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico
  name:
    name part: Numerical and Evolutionary Optimization Workshop (2015 : Tijuana, Mexico)
    role:
      role term: creator
  name:
    name part: Schütze, Oliver
    name part: (Computer scientist)
    role:
      role term: editor.
  name:
    name part: Trujillo, Leonardo
    role:
      role term: editor.
  name:
    name part: Legrand, Pierrick
    role:
      role term: editor.
  name:
    name part: Maldonado, Yazmin
    role:
      role term: editor.
  type of resource: text
  genre: conference publication
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: sz
    date issued: 2016
    copyright date: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 444 pages) : illustrations (some color)
  abstract: This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today's world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal.
  table of contents: Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and Real World Applications.
  note: Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmin Maldonado, editors.
  note: Includes author index.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographic references and index.
  subject:
    topic: Mathematical optimization
    genre: Congresses
  subject:
    topic: Evolution equations
    genre: Congresses
  related item:
    title info:
      title: Studies in computational intelligence ; v. 663
  identifier: 9783319440033
  identifier: 9783319440026
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: GW5XE
    record creation date: 160922
    record change date: 20251008111948.0
    record identifier: 99358
    language of cataloging:
      language term: eng