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Title:Sequential heuristic algorithm of two-dimensional cutting stock with reducing number of patterns
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ClassificationCode:TP391
year,vol(issue):pagenumber:2022,47(4):95-100
Abstract:

 The two-dimensional cutting stock problem of rectangular parts was discussed, and taking the minimum cost of sheet as the main optimization objective, taking the minimum number of patterns as the secondary optimization objective, a cutting stock algorithm that could reduce the number of patterns was proposed. Then, based on the sequential heuristic framework, the algorithm generated pattern one by one in order to meet the part requirements of the remaining rectangular parts until all the requirements of the rectangular parts were met, and it used a grouping technique to select the rectangular parts that were used to generate the next pattern. Furthermore, after the next pattern was generated by the above rectangular parts, the value of rectangular parts was adjusted according to the sequential value correction method, and each pattern was generated by the dynamic programming program. Finally, the cutting stock algorithm in this paper was compared with the two literature algorithms. The experimental results show that the area of the sheet used by the cutting stock algorithm in this paper is 1.12% and 0.89% less than that of the literature algorithms respectively, and the number of patterns is reduced by 45.56% and 30.79% respectively. However, the calculation time is close to that of the literature algorithms.

Funds:
教育部新一代信息技术创新项目(2020ITA03027)
AuthorIntro:
作者简介:谢东刚(1983-),男,硕士,讲师 E-mail:dgxgygx@163.com 通信作者:唐伟萍(1983-),女,学士,副教授 E-mail:hxnz2002@126.com
Reference:

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