**3.1 Weaving parameters in production**

Recent application of computer technology in the textile field (Inui et al., 1994) (Liu et al., 1995) (Ohra et al., 1994) (Hu, 2009) (Zhang et al., 2010) (Penava et al.,2009) , e.g., simulation systems for color matching, computer aided design (CAD) systems for static and dynamic states, and semantic color-generating systems for garment design. In this study, we propose an intelligent searching system theory based on a genetic algorithm to search for weaving parameters. There are five weaving parameters, i.e., warp yarn count, weft yarn count, warp yarn density, weft yarn density, and total yarn weight, which are all correlated to one another in weaving. If two or more than two parameters are unknown among them, there will be many available combinations.

Let's suppose there is a weaving mill that develops a fabric whose total weight consumption is preset as 5.6 × 10-7 (lb) per square inch. For simplification, the shrinkage of the fabric during weaving is neglected. There exist many combinations of weaving parameters (i.e., both yarn count and weaving density of the warp and weft), that can be used for preset weight consumptions of the material yarns. For instance, samples A, B, and C, shown in Table 1, all answer these demands. The areas of these three fabric pieces are similar- 1 square inch- but they have different yarn counts and weaving densities. Now the question is how a designer can easily and immediately obtain a lot of available combination sets of these four weaving parameters. In other words, it's difficult for a designer to acquire all the possible combination sets of weaving parameters simply through common sense. In addition, in order to speed up the production rate, the weft yarn count used in weaving is usually smaller than the warp yarn count. Thus the weaving density of the warp yarns is usually larger than that of weft yarns during implementation. Sample D's weaving density of warp yarn is smaller than that of its weft yarn. Sample E's warp yarn count is smaller than its weft yarn count. Sample F's weaving density of warp yarn is smaller than its weft yarn, and its warp yarn count is smaller than its weft yarn count. Therefore, Samples D-F shown in Table 1 are not available for practical use in weaving engineering.


a available for practical application, × unavailable for practical application, N1, N2 yarn count of warp and weft yarns, respectively, n1, n2 weaving density of warp and weft yarns, respectively, and W total weight of woven fabrics.

Table 1. Combination sets of weaving parameters for samples A-F.a (Lin, 2003)
