Intrinsic Evolution of Large Digital Circuits Using a Modular Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Shri Vidhya Alagesan and Sruthi Kannan and 
                 G. Shanthi and A. P. Shanthi and Ranjani Parthasarathi",
  title =        "Intrinsic Evolution of Large Digital Circuits Using a
                 Modular Approach",
  booktitle =    "NASA/ESA Conference on Adaptive Hardware and Systems,
                 AHS '08",
  year =         "2008",
  month =        jun,
  pages =        "19--26",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, Xilinx Virtex II Pro board,
                 evolvable hardware, large digital circuits, modular
                 approach, modular developmental Cartesian genetic
                 programming, scalability problem, software platform,
                 time consuming fitness evaluation, digital circuits",
  DOI =          "doi:10.1109/AHS.2008.52",
  abstract =     "This work pioneers a generic and flexible approach to
                 intrinsically evolve large digital circuits. One of the
                 popular ways of handling the scalability problem
                 prevalent in evolvable hardware (EHW) and evolve large
                 circuits is to partition the circuit, evolve the
                 individual partitions and then compact them. However,
                 as the partition sizes become larger, this method also
                 fails. This drawback is overcome by the modular
                 developmental Cartesian genetic programming (MDCGP)
                 technique, which still uses partitioning, but augments
                 it further with horizontal and vertical reuse. The
                 results obtained are promising and show that there is
                 100percent evolvability for 128-bit partitions, the
                 largest partitions evolved so far. The fitness
                 evaluation for the evolved partitions is done by
                 downloading them onto Xilinx Virtex II Pro board. This
                 work is the first step towards the development of a
                 flexible evolvable framework which harnesses the power
                 of hardware for the time consuming fitness evaluation
                 and at the same time provides flexibility by carrying
                 out the other parts using the easily modifiable
                 software platform.",
  notes =        "Also known as \cite{4584250}",

Genetic Programming entries for Shri Vidhya Alagesan Sruthi Kannan G Shanthi A P Shanthi Ranjani Parthasarathi