Evolvable Hardware Challenges: Past, Present and the Path to a Promising Future

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@InCollection{Haddow:2017:miller,
  author =       "Pauline C. Haddow and Andy M. Tyrrell",
  title =        "Evolvable Hardware Challenges: Past, Present and the
                 Path to a Promising Future",
  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 =      "1",
  pages =        "3--37",
  keywords =     "genetic algorithms, genetic programming, EHW",
  isbn13 =       "978-3-319-67996-9",
  DOI =          "doi:10.1007/978-3-319-67997-6_1",
  abstract =     "The ability of the processes in Nature to achieve
                 remarkable examples of complexity, resilience,
                 inventive solutions and beauty is phenomenal. This
                 ability has promoted engineers and scientists to look
                 to Nature for inspiration. Evolvable Hardware (EH) is
                 one such form of inspiration. It 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 (better) than human
                 designs. However, almost 20 years on, it appears that
                 problems solved by EH are only of the size and
                 complexity of that achievable in EC 20 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 chapter further
                 redefines the field and speculates where the field
                 should go in the next 10 years.",
  notes =        "part of \cite{miller60book}
                 https://link.springer.com/bookseries/10624",
}

Genetic Programming entries for Pauline Haddow Andrew M Tyrrell

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