Using Cartesian genetic programming to implement function modelling

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Zhangyi Yu and Sanyou Zeng and Yan Guo and 
                 Liguo Song",
  title =        "Using Cartesian genetic programming to implement
                 function modelling",
  journal =      "International Journal of Innovative Computing and
  publisher =    "Inderscience Publishers",
  year =         "2015",
  month =        mar # "~21",
  volume =       "3",
  number =       "4",
  pages =        "213--222",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, CGP, evolutionary algorithms,
                 function modelling",
  bibsource =    "OAI-PMH server at",
  ISSN =         "1751-6498",
  URL =          "",
  DOI =          "doi:10.1504/IJICA.2011.044530",
  abstract =     "This paper presents a new method which uses Cartesian
                 genetic programming (CGP) in order to implement
                 function modelling. Since Julian F. Miller proposed the
                 method of CGP, the research and development of CGP
                 mainly trends in the design of the circuit application
                 in recent years; very few scholars have the related
                 research of function modelling in this field.
                 Therefore, the most important feature in this paper is
                 that we apply CGP which is originally used for circuit
                 design to implement function modelling. By numerical
                 test experiments and comparison, we find that this
                 method of function modelling is novel and has the
                 comparative advantages and it is intelligent
                 (self-adaptive, self-organising, self-learning,
                 self-healing, etc.) while it can greatly increase the
                 system speed.",

Genetic Programming entries for Zhangyi Yu San-you Zeng Yan Guo Liguo Song