Analog Genetic Encoding for the Evolution of Circuits and Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Claudio Mattiussi and Dario Floreano",
  title =        "Analog Genetic Encoding for the Evolution of Circuits
                 and Networks",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2007",
  volume =       "11",
  number =       "5",
  pages =        "596--607",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming, Analog
                 circuit synthesis, analogue genetic encoding (AGE),
                 analog network synthesis, evolutionary computation,
                 genetic representation, neural network synthesis",
  ISSN =         "1089-778X",
  DOI =          "doi:10.1109/TEVC.2006.886801",
  size =         "12 pages",
  abstract =     "This paper describes a new kind of genetic
                 representation called analog genetic encoding (AGE).
                 The representation is aimed at the evolutionary
                 synthesis and reverse engineering of circuits and
                 networks such as analogue electronic circuits, neural
                 networks, and genetic regulatory networks. AGE permits
                 the simultaneous evolution of the topology and sizing
                 of the networks. The establishment of the links between
                 the devices that form the network is based on an
                 implicit definition of the interaction between
                 different parts of the genome. This reduces the amount
                 of information that must be carried by the genome,
                 relatively to a direct encoding of the links. The
                 application of AGE is illustrated with examples of
                 analog electronic circuit and neural network synthesis.
                 The performance of the representation and the quality
                 of the results obtained with AGE are compared with
                 those produced by genetic programming.",

Genetic Programming entries for Claudio Mattiussi Dario Floreano