Variable Topology Cartesian Genetic Programming for Combinational Circuit

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  author =       "Xiuqin Wang and Hao Wang and Guangsheng Ma",
  title =        "Variable Topology Cartesian Genetic Programming for
                 Combinational Circuit",
  booktitle =    "Fourth International Conference on Natural
                 Computation, ICNC '08",
  year =         "2008",
  month =        oct,
  volume =       "7",
  pages =        "306--310",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, auto-design, combinational
                 circuit, evolvable hardware, genetic coding,
                 self-adapt, self-organization, self-repair, variable
                 topology Cartesian genetic programming, combinational
  DOI =          "doi:10.1109/ICNC.2008.522",
  abstract =     "Evolvable hardware is consisted of hardware and
                 evolvable algorithm. It has the ability of
                 self-organization, self-adapt, self-repair and
                 auto-design. Because of its important application
                 values and the shortcomings of traditional methods,
                 generating evolvable circuit with quick speed and
                 obtaining the optimal evolvable circuit are the hotspot
                 in the field of evolvable circuit. In this paper a two
                 stage evolution algorithm is proposed, which use
                 variable topology genetic coding to improve the
                 flexibility of Cartesian Genetic Programming (CGP).
                 Simulation results demonstrate the validity and
                 performance of the proposed method.",
  notes =        "Also known as \cite{4667990}",

Genetic Programming entries for Xiuqin Wang Hao Wang Guangsheng Ma