Cartesian Genetic Programming for Memristive Logic Circuits

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Gerard David Howard and Larry Bull and 
                 Andrew Adamatzky",
  title =        "Cartesian Genetic Programming for Memristive Logic
  booktitle =    "Proceedings of the 15th European Conference on Genetic
                 Programming, EuroGP 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Alberto Moraglio and Sara Silva and 
                 Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
  series =       "LNCS",
  volume =       "7244",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "37--48",
  organisation = "EvoStar",
  isbn13 =       "978-3-642-29138-8",
  DOI =          "doi:10.1007/978-3-642-29139-5_4",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, Self-adaptation, Nanotechnology,
                 Boolean logic, Memristors, Robotics",
  abstract =     "In this paper memristive logic circuits are evolved
                 using Cartesian Genetic Programming. Graphs comprised
                 of implication logic (IMP) nodes are compared to more
                 ubiquitous NAND circuitry on a number of logic circuit
                 problems and a robotic control task. Self-adaptive
                 search parameters are used to provide each graph with
                 autonomy with respect to its relative mutation rates.
                 Results demonstrate that, although NAND-logic graphs
                 are easier to evolve, IMP graphs carry benefits in
                 terms of (i) numbers of memristors required (ii) the
                 time required to process the graphs.",
  notes =        "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
                 conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
                 and EvoApplications2012",

Genetic Programming entries for David Howard Larry Bull Andrew Adamatzky