Designing Digital Systems Using Cartesian Genetic Programming and VHDL

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Benjamin Henson and James Alfred Walker and 
                 Martin A. Trefzer and Andy M. Tyrrell",
  title =        "Designing Digital Systems Using Cartesian Genetic
                 Programming and {VHDL}",
  booktitle =    "Inspired by Nature: Essays Presented to Julian F.
                 Miller on the Occasion of his 60th Birthday",
  publisher =    "Springer",
  year =         "2017",
  editor =       "Susan Stepney and Andrew Adamatzky",
  volume =       "28",
  series =       "Emergence, Complexity and Computation",
  chapter =      "3",
  pages =        "57--86",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, EHW",
  isbn13 =       "978-3-319-67996-9",
  DOI =          "doi:10.1007/978-3-319-67997-6_3",
  abstract =     "This chapter describes the use of biologically
                 inspired Evolutionary Algorithms (EAs) to create
                 designs for implementation on a reconfigurable logic
                 device. Previous work on Evolvable Hardware (EHW) is
                 discussed with a focus on timing problems for digital
                 circuits. An EA is developed that describes the circuit
                 using a Hardware Description Language (HDL) in a
                 Cartesian Genetic Programming (CGP) framework. The use
                 of an HDL enabled a commercial hardware simulator to be
                 used to evaluate the evolved circuits. Timing models
                 are included in the simulation allowing sequential
                 circuits to be created and assessed. The aim of the
                 work is to develop an EA that is able to create time
                 dependent circuity using the versatility of a HDL and a
                 hardware timing simulator. The variation in the circuit
                 timing from the placement of the logic components, led
                 to an environment with a selection pressure that
                 promoted a more robust design. The results show the
                 creation of both combinatorial and sequential
  notes =        "part of \cite{miller60book}

Genetic Programming entries for Benjamin Henson James Alfred Walker Martin A Trefzer Andrew M Tyrrell