Evolution of lace knitting stitch patterns by genetic programming

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Abstract

In this paper we study the generation of lace knitting stitch patterns by using genetic programming. We devise a genetic representation of knitting charts that accurately reflects their usage for hand knitting the pattern. We apply a basic evolutionary algorithm for generating the patterns, where the key of success is evaluation. We propose automatic evaluation of the patterns, without interaction with the user. We present some patterns generated by the method and then discuss further possibilities for bringing automatic evaluation closer to human evaluation.
Original languageEnglish
Title of host publicationGECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Place of PublicationNew York, NY (US)
PublisherACM
Pages2457-2461
Number of pages5
ISBN (Print)978-1-59593-698-1
DOIs
Publication statusPublished - 2007
Event9th Annual conference companion on Genetic and evolutionary computation - London, United Kingdom
Duration: 7 Jul 200711 Jul 2007

Conference

Conference9th Annual conference companion on Genetic and evolutionary computation
Abbreviated titleGECCO'07
CountryUnited Kingdom
CityLondon
Period7/07/0711/07/07

Keywords

  • genetic programmin
  • creativity
  • representation
  • evaluation

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  • Cite this

    Ekárt, A. (2007). Evolution of lace knitting stitch patterns by genetic programming. In GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation (pp. 2457-2461). ACM. https://doi.org/10.1145/1274000.1274010