Evolution of lace knitting stitch patterns by genetic programming

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

Fingerprint

Genetic programming
Evolutionary algorithms

Keywords

  • genetic programmin
  • creativity
  • representation
  • evaluation

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). New York, NY (US): ACM. https://doi.org/10.1145/1274000.1274010
Ekárt, Anikó. / Evolution of lace knitting stitch patterns by genetic programming. GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation. New York, NY (US) : ACM, 2007. pp. 2457-2461
@inproceedings{e9ea9777a55f4d8eae98344afc93926a,
title = "Evolution of lace knitting stitch patterns by genetic programming",
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.",
keywords = "genetic programmin, creativity, representation, evaluation",
author = "Anik{\'o} Ek{\'a}rt",
year = "2007",
doi = "10.1145/1274000.1274010",
language = "English",
isbn = "978-1-59593-698-1",
pages = "2457--2461",
booktitle = "GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation",
publisher = "ACM",
address = "United States",

}

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. ACM, New York, NY (US), pp. 2457-2461, 9th Annual conference companion on Genetic and evolutionary computation, London, United Kingdom, 7/07/07. https://doi.org/10.1145/1274000.1274010

Evolution of lace knitting stitch patterns by genetic programming. / Ekárt, Anikó.

GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation. New York, NY (US) : ACM, 2007. p. 2457-2461.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Evolution of lace knitting stitch patterns by genetic programming

AU - Ekárt, Anikó

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - genetic programmin

KW - creativity

KW - representation

KW - evaluation

UR - http://www.scopus.com/inward/record.url?scp=34548062850&partnerID=8YFLogxK

UR - http://dl.acm.org/citation.cfm?doid=1274000.1274010

U2 - 10.1145/1274000.1274010

DO - 10.1145/1274000.1274010

M3 - Conference contribution

AN - SCOPUS:34548062850

SN - 978-1-59593-698-1

SP - 2457

EP - 2461

BT - GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation

PB - ACM

CY - New York, NY (US)

ER -

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