Evolutionary circuit design: Tutorial

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Sekanina:2010:DDECS,
  author =       "Lukas Sekanina",
  title =        "Evolutionary circuit design: Tutorial",
  booktitle =    "13th IEEE International Symposium on Design and
                 Diagnostics of Electronic Circuits and Systems (DDECS
                 2010)",
  year =         "2010",
  month =        "14-16 " # apr,
  address =      "Vienna, Austria",
  pages =        "5",
  size =         "1 page",
  abstract =     "Evolutionary algorithms (EAs) are population-based
                 search algorithms that have been successfully applied
                 to solve hard optimisation problems in many application
                 domains. Since the early 1990's researchers have begun
                 to apply evolutionary algorithms to synthesise
                 electronic circuits. Nowadays it is evident that the
                 evolutionary design approach can automatically create
                 efficient electronic circuits in many domains. In this
                 tutorial, fundamental concepts of evolutionary design
                 of digital circuits are presented. In particular, the
                 tutorial deals with Cartesian Genetic Programming (CGP)
                 a method of genetic programming that in many cases
                 outperforms conventional synthesis tools in terms of
                 achievable circuit size reduction. Innovative designs
                 will be presented in domains of small combinational
                 circuits (where the goal is to minimise the number of
                 gates), middle-size circuits (such as image filters
                 intended for FPGAs where the goal is to obtain the
                 quality of filtering of conventional methods for a
                 significantly lower cost on a chip) and large circuits
                 (such as benchmark circuits for comparison of
                 testability analysis methods), covering thus circuit
                 complexity from a few gates to millions of gates. For
                 example, one of evolved image filters is now protected
                 by utility model in the Czech Republic (patent
                 pending). Evolved circuits will be compared with the
                 best-known conventional designs. We will also show how
                 to deal with the so-called scalability problems of
                 evolutionary design which have been identified as the
                 most important problems from the point of view of
                 practical applications. In summary, tutorial
                 participants will become familiar with the state of the
                 art methods in the area of digital circuit evolution.
                 They will learn how to apply CGP, construct the fitness
                 function and run experiments.",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  DOI =          "doi:10.1109/DDECS.2010.5491830",
  notes =        "Also known as \cite{5491830}",
}

Genetic Programming entries for Lukas Sekanina

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