节点文献
Algorithm for 2D irregular-shaped nesting problem based on the NFP algorithm and lowest-gravity-center principle
【Abstract】 The nesting problem involves arranging pieces on a plate to maximize use of material. A new scheme for 2D ir- regular-shaped nesting problem is proposed. The new scheme is based on the NFP (No Fit Polygon) algorithm and a new placement principle for pieces. The novel placement principle is to place a piece to the position with lowest gravity center based on NFP. In addition, genetic algorithm (GA) is adopted to find an efficient nesting sequence. The proposed scheme can deal with pieces with arbitrary rotation and containing region with holes, and achieves competitive results in experiment on benchmark datasets.
【关键词】 Nesting;
Cutting stock;
No Fit Polygon (NFP);
Genetic algorithm (GA);
Lowest gravity center;
【Key words】 Nesting; Cutting stock; No Fit Polygon (NFP); Genetic algorithm (GA); Lowest gravity center;
【Key words】 Nesting; Cutting stock; No Fit Polygon (NFP); Genetic algorithm (GA); Lowest gravity center;
【基金】 Project (No. 60573146) supported by the National Natural ScienceFoundation of China
- 【文献出处】 Journal of Zhejiang University Science A(Science in Engineering) ,浙江大学学报A(应用物理及工程版)(英文版) , 编辑部邮箱 ,2006年04期
- 【分类号】TP391.7
- 【被引频次】10
- 【下载频次】69