Reinforcement learning and optimization for mass customization of embroidery

刺绣大规模定制的强化学习与优化

• 批准号: 509935-2017
• 负责人: Yu, JiaYuan
• 金额: $ 2.77万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618886
• 关键词: Reinforcement; learning; optimization; mass; customization

The objective is to demonstrate applications of machine learning and operations research in the fashion industry. In particular, we solve a problem of mass customization by automatically generating the embroidery machine instructions from images uploaded by customers. Traditionally, these instructions are painstakingly created by trained workers using specialized software. The machine instructions are fed to embroidery machines to create embroideries on selected garments. The proposed system will be the first of its kind to automate the process. Our solution approach uses algorithms for neuro-dynamic programming and traveling salesman problems with clusters.

目的是展示机器学习和运筹学在时尚行业的应用。特别是，我们通过根据客户上传的图像自动生成刺绣机指令来解决大规模定制的问题。传统上，这些说明是由经过培训的工人使用专门的软件精心创建的。机器指令被输入到刺绣机以在选定的服装上进行刺绣。拟议的系统将是同类中第一个实现该过程自动化的系统。我们的解决方案使用神经动态编程算法和集群的旅行商问题。