| DONG Hui(董 辉),LYU Jinyang,LIN Wenjie,WU Xiang,WU Mincheng,HUANG Guangpu.[J].高技术通讯(英文),2025,31(1):53~62 |
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| A decoupled multi-objective optimization algorithm for cut order planning of multi-color garment |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 01. 006 |
| 中文关键词: |
| 英文关键词: multi-objective optimization, non-dominated sorting in genetic algorithms Ⅱ(NSGAII), cut order planning (COP), multi-color garment, linear programming decoupling strategy |
| 基金项目: |
| Author Name | Affiliation | | DONG Hui(董 辉) | (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, P. R. China) | | LYU Jinyang | | | LIN Wenjie | | | WU Xiang | | | WU Mincheng | | | HUANG Guangpu | |
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| 中文摘要: |
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| 英文摘要: |
| This work addresses the cut order planning (COP) problem for multi-color garment production,which is the first step in the clothing industry. First, a multi-objective optimization model of multicolor COP (MCOP) is established with production error and production cost as optimization objectives, combined with constraints such as the number of equipment and the number of layers. Second, a decoupled multi-objective optimization algorithm (DMOA) is proposed based on the linear programming decoupling strategy and non-dominated sorting in genetic algorithms Ⅱ(NSGAII). The size-combination matrix and the fabric-layer matrix are decoupled to improve the accuracy of the algorithm. Meanwhile, an improved NSGAII algorithm is designed to obtain the optimal Pareto solution to the MCOP problem, thereby constructing a practical intelligent production optimization algorithm. Finally, the effectiveness and superiority of the proposed DMOA are verified through practical cases and comparative experiments, which can effectively optimize the production process for garment enterprises. |
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