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: Cartesian Genetic Programming
  name:
    name part: Miller, Julian F.
    role:
      role term: creator
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXII, 346 pages)
  abstract: Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype-phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences. This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.
  table of contents: Introduction -- Cartesian Genetic Programming -- Modular Cartesian Genetic Programming -- Self-modifying Cartesian Genetic Programming -- Evolution of Electronic Circuits -- Image Processing -- Developmental Approaches -- Artificial Neural Approaches -- Medical Applications -- Hardware Acceleration -- Control Applications -- Evolutionary Art -- Future Directions -- App. A, A Bibliography of CGP Papers -- App. B, CGP Software.
  note: edited by Julian F. Miller.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computer Appl. in Arts and Humanities
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Electrical engineering
  subject:
    topic: Theory of Computation
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer engineering
  subject:
    topic: Computer science
  subject:
    topic: Computer-aided design
  subject:
    topic: Information systems
  subject:
    topic: Information theory
  classification: QA75.5-76.95
  classification: 004.0151
  related item:
    title info:
      title: Natural computing series
  identifier: 9783642173103
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 110915
    record change date: 20210728125058.0
    record identifier: in00003518421