Hardware/Software Coevolution of Genome Programs and Cellular Processors

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Gianluca Tempesti and Pierre-Andre Mudry and 
                 Guillaume Zufferey",
  title =        "Hardware/Software Coevolution of Genome Programs and
                 Cellular Processors",
  year =         "2006",
  booktitle =    "First NASA/ESA Conference on Adaptive Hardware and
                 Systems (AHS 2006)",
  editor =       "Adrian Stoica and Tughrul Arslan and Martin Suess and 
                 Senay Yal\c{c}in and Didier Keymeulen and 
                 Tetsuya Higuchi and Ricardo Salem Zebulum and 
                 Nizamettin Aydin",
  pages =        "129--136",
  address =      "Istanbul, Turkey",
  month =        "15-18 " # jun,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, evolvable
                 hardware, evolutionary computation, hardware-software
                 codesign, logic partitioning, microprocessor chips,
                 reconfigurable architectures, biological organism,
                 cellular processor, configurable processor
                 architecture, evolutionary technique, genome program,
                 hardware design, hardware/software coevolution",
  ISBN =         "0-7695-2614-4",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1109/AHS.2006.51",
  abstract =     "The application of evolutionary techniques to the
                 design of custom processing elements bears a strong
                 relation to the natural process that led to the
                 co-evolution of cells and genomes in biological
                 organisms. As such, it is an interesting avenue for an
                 effective application of evolutionary approaches in the
                 domain of hardware design. The architecture of
                 conventional non-configurable processors, however, is
                 ill-adapted to this kind of approach, as evolution can
                 operate exclusively on the software (the genome) and
                 not on the hardware that executes it, leading to
                 scalability issues that seem very difficult to
                 overcome. Building on a family of configurable
                 processors we developed in the past years, in this
                 article we introduce a design methodology that allows
                 the architecture of the processor to co-evolve together
                 with the code to be executed",

Genetic Programming entries for Gianluca Tempesti Pierre-Andre Mudry Guillaume Zufferey