Evolution of lace knitting stitch patterns by genetic programming

Authors:
Anikó Ekárt
Affiliations:
Aston University, Birmingham, United Kingdom
Venue:
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Year:
2007

Citing 3
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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.