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Genetic Programming for the Design of Lace Knitting Stitch Patterns

机译:蕾丝针织针迹图案设计的遗传编程

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Creative design is very hard to model or imitate by computers. However, there exist a variety of artificial intelligence techniques that can be applied to highly constrained, well-defined design tasks. Creative evolutionary design [1] is one such group of techniques with reported success. Here we present our genetic programming based method for automatic design of lace knitting stitch patterns. First we devise a genetic representation of knitting charts that accurately reflects their usage for hand knitting the pattern. We then 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.
机译:创意设计很难通过计算机模拟或模仿。然而,存在各种人工智能技术,可以应用于高度约束,明确定义的设计任务。创造性的进化设计[1]是一组据报道成功的技术。在这里,我们介绍了基于遗传编程的鞋带针织针迹图案的自动设计方法。首先,我们设计了编织图表的遗传表示,可以准确地反映其使用手工针织模式。然后,我们应用一种基本的进化算法来生成模式,其中成功的关键是评估。我们提出了自动评估模式,而不与用户的互动。我们介绍了该方法产生的一些模式,然后讨论将自动评估更接近人类评估的其他可能性。

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