Evolution of lace knitting stitch patterns by genetic programming

Anikó Ekárt

doi:10.1145/1274000.1274010

Evolution of lace knitting stitch patterns by genetic programming

Anikó Ekárt

Computer Science Research Group

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Place of Publication	New York, NY (US)
Publisher	ACM
Pages	2457-2461
Number of pages	5
ISBN (Print)	978-1-59593-698-1
DOIs	https://doi.org/10.1145/1274000.1274010
Publication status	Published - 2007
Event	9th Annual conference companion on Genetic and evolutionary computation - London, United Kingdom Duration: 7 Jul 2007 → 11 Jul 2007

Conference

Conference	9th Annual conference companion on Genetic and evolutionary computation
Abbreviated title	GECCO'07
Country/Territory	United Kingdom
City	London
Period	7/07/07 → 11/07/07

Keywords

genetic programmin
creativity
representation
evaluation

Access to Document

10.1145/1274000.1274010

Cite this

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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",

note = "9th Annual conference companion on Genetic and evolutionary computation, GECCO'07 ; Conference date: 07-07-2007 Through 11-07-2007",

}

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

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PY - 2007

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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

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

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DO - 10.1145/1274000.1274010

M3 - Conference publication

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)

T2 - 9th Annual conference companion on Genetic and evolutionary computation

Y2 - 7 July 2007 through 11 July 2007

ER -

Evolution of lace knitting stitch patterns by genetic programming

Abstract

Conference

Keywords

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