Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming

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@InProceedings{Sekanina:2016:GECCOcomp,
  author =       "Lukas Sekanina and Vlastimil Kapusta",
  title =        "Visualisation and Analysis of Genetic Records Produced
                 by Cartesian Genetic Programming",
  booktitle =    "GECCO '16 Companion: Proceedings of the Companion
                 Publication of the 2016 Annual Conference on Genetic
                 and Evolutionary Computation",
  year =         "2016",
  isbn13 =       "978-1-4503-4323-7",
  pages =        "1411--1418",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  month =        "20-24 " # jul,
  organisation = "SIGEVO",
  address =      "Denver, Colorado, USA",
  DOI =          "doi:10.1145/2908961.2931740",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Cartesian genetic programming (CGP) is a branch of
                 genetic programming in which candidate designs are
                 represented using directed acyclic graphs. Evolutionary
                 circuit design is the most typical application of CGP.
                 This paper presents a new software
                 tool---CGPAnalyzer---developed to analyse and visualise
                 a genetic record (i.e. a log file) generated by
                 CGP-based circuit design software. CGPAnalyzer
                 automatically finds key genetic improvements in the
                 genetic record and presents relevant phenotypes. The
                 comparison module of CGPAnalyzer allows the user to
                 select two phenotypes and compare their structure,
                 history and functionality. It thus enables to
                 reconstruct the process of discovering new circuit
                 designs. This feature is demonstrated by means of the
                 analysis of the genetic record from a 9-parity circuit
                 evolution. The CGPAnalyzer tool is a desktop
                 application with a graphical user interface created
                 using Java v.8 and Swing library.",
}

Genetic Programming entries for Lukas Sekanina Vlastimil Kapusta

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