Aspects of Digital Evolution: Geometry and Learning

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@InProceedings{656753,
  author =       "Julian F. Miller and Peter Thomson",
  title =        "Aspects of Digital Evolution: Geometry and Learning",
  booktitle =    "Proceedings of the Second International Conference on
                 Evolvable Systems",
  year =         "1998",
  ISBN =         "3-540-64954-9",
  pages =        "25--35",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.elec.york.ac.uk/intsys/users/jfm7/ices98.pdf",
  DOI =          "doi:10.1007/BFb0057604",
  abstract =     "In this paper we present a new chromosome
                 representation for evolving digital circuits. The
                 representation is based very closely on the chip
                 architecture of the Xilinx 6216 FPGA. We examine the
                 effectiveness of evolving circuit functionality by
                 using randomly chosen examples taken from the truth
                 table. We consider the merits of a cell architecture in
                 which functional cells alternate with routing cells and
                 compare this with an architecture in which any cell can
                 implement a function or be merely used for routing
                 signals. It is noteworthy that the presence of elitism
                 significantly improves the Genetic Algorithm
                 performance.",
}

Genetic Programming entries for Julian F Miller Peter Thomson

Citations