Challenges of evolvable hardware: past, present and the path to a promising future

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

  author =       "Pauline C. Haddow and Andy M. Tyrrell",
  title =        "Challenges of evolvable hardware: past, present and
                 the path to a promising future",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2011",
  volume =       "12",
  number =       "3",
  pages =        "183--215",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, evolvable
                 hardware, EHW, Future technology, Scalability,
                 Computation medium, Review",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-011-9141-6",
  size =         "33 pages",
  abstract =     "Nature is phenomenal. The achievements in, for
                 example, evolution are everywhere to be seen:
                 complexity, resilience, inventive solutions and beauty.
                 Evolvable Hardware (EH) is a field of evolutionary
                 computation (EC) that focuses on the embodiment of
                 evolution in a physical media. If EH could achieve even
                 a small step in natural evolution's achievements, it
                 would be a significant step for hardware designers.
                 Before the field of EH began, EC had already shown
                 artificial evolution to be a highly competitive problem
                 solver. EH thus started off as a new and exciting field
                 with much promise. It seemed only a matter of time
                 before researchers would find ways to convert such
                 techniques into hardware problem solvers and further
                 refine the techniques to achieve systems that were
                 competitive with or better than human designs. However,
                 15 years on it appears that problems solved by EH are
                 only of the size and complexity of that achievable in
                 EC 15 years ago and seldom compete with traditional
                 designs. A critical review of the field is presented.
                 Whilst highlighting some of the successes, it also
                 considers why the field is far from reaching these
                 goals. The paper further redefines the field and
                 speculates where the field should go in the next 10
  notes =        "Brief mention of GP, mostly Koza, Lohn and Miller.
                 Claims to define EHW. randomspice, ngspice. JPL,
                 Heidelberg FTPA, Xilinx, Altera FPGA, systolic arrays,
                 MOGA, adaptive clock skew. Overhype, secure funding,
                 lack of theoretical work. Complexity Kolmogorov,
                 Lempel-Ziv. Reliability, multiple faults. we need to
                 take a fresh look at the way we think about evolvable

Genetic Programming entries for Pauline Haddow Andrew M Tyrrell