Abstract
This research is to develop a framework which can be used for surrogate-based modeling and optimization of the bleach washing for denim fabrics. The aim of the proposed framework is to predict performances and minimize costs of the bleach washing. In the framework, a series of surrogate models are first constructed for illustrating the relationships between bleach washing parameters and washing performances by the orthogonal experimental design, and the constructed surrogate models are proved to own an acceptable accuracy. Then, based on the surrogate models, an optimization model is built, whose objective is to minimize costs of the bleach washing under constraints of performance requirements. The optimization model can be treated as an integer nonlinear programming(INLP)problem and solved by the Monte Carlo simulation.
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Ke, W., Xu, J., Yang, M., Yi, C. (2019). Surrogate-Based Modeling and Optimization of the Bleach Washing for Denim Fabrics. In: Wong, W. (eds) Artificial Intelligence on Fashion and Textiles. AITA 2018. Advances in Intelligent Systems and Computing, vol 849. Springer, Cham. https://doi.org/10.1007/978-3-319-99695-0_9
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DOI: https://doi.org/10.1007/978-3-319-99695-0_9
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