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IMPROVEMENTS ON LAYOUT OF GARMENT PATTERNS FOR EFFICIENT FABRIC CONSUMPTION

机译:高效织物消耗的服装模式布局的改进

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This paper deals with the problem of optimal layout for the placement of garment patterns. The proposed genetic algorithm is adapted for use to minimize fabric waste in garment production industry. Each garment piece is modeled as a polygonal object with a default orientation, but may be rotated 180 degrees. The layout of all the pieces is realized in yielding some successive partial solutions until the order book is empty. The efficiency is measured as the length of fixed-width fabric used. Results provided compare our genetic algorithm to human experts. The results from our experiments show that our genetic algorithm can improve the efficiency of almost all production quality markers, shirts, trousers and other garments.
机译:本文涉及衣服图案放置最佳布局的问题。该提出的遗传算法适用于衣服生产行业中的织物废料。每个服装片被建模为具有默认方向的多边形对象,但可以旋转180度。所有碎片的布局都实现了一些连续的部分解决方案,直到订单书为空。作为所用固定宽度织物的长度测量效率。结果提供了对人类专家的遗传算法进行了比较。我们的实验结果表明,我们的遗传算法可以提高几乎所有生产质量标记,衬衫,裤子和其他服装的效率。

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