A Genetic Algorithm for Searching Weaving Parameters for Woven Fabrics

摘要

In this study, an intelligent R&D design system is used to obtain the best combination of weaving parameters for woven fabric designs. The searching mechanism, developed in the Turbo C programming environment, and the theory, based on a genetic algorithm, can find several desired solutions of weaving parameters to produce woven fabrics within controlled costs. In addition, the system can simultaneously calculate the fractional cover of the fabric for each set of surveyed solutions in order to provide the designer with options for the functionality of these fabrics. With this system, the weaving mill can integrate the resources of different divisions (e.g., design, production, and financial divisions) to achieve perfect designs for woven fabrics and enhance the enterprise's competitive power.