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: Evolutionary Computation and Complex Networks
  name:
    name part: Liu, Jing.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Abbass, Hussein A.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Tan, Kay Chen.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 148 p. 49 illus., 29 illus. in color. online resource.
  abstract: This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms.The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks. Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively; Provides novel and efficient computational problem solving techniques that require little computer memory; Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.
  table of contents: Part 1: Background -- Evolutionary Computation -- Complex Networks -- Part 2: Using Complex Networks to Analyze Evolutionary Algorithms -- Evolutionary Dynamics on Complex Networks -- Problem Difficulty Prediction based on Complex Networks -- Network-based Problem Difficulty Prediction Measures -- Part 3: Using Evolutionary Algorithms to Solve Problems in Complex Networks -- Evolutionary Community Detection Algorithms -- Evolving Robust Networks using Evolutionary Algorithms -- Other Optimization Problems in Complex Networks.
  note: by Jing Liu, Hussein A. Abbass, Kay Chen Tan.
  subject:
    topic: Electrical engineering
  subject:
    topic: Algorithms
  subject:
    topic: Computers
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Computation by Abstract Devices
  classification: TK1-9971
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319600000
  identifier: https://doi.org/10.1007/978-3-319-60000-0
  record info:
    record creation date: 180922
    record change date: 20191022061327.0
    record identifier: 978-3-319-60000-0