Hybrid algorithm for the two-dimensional rectangular layer-packing problem

被引:8
|
作者
Chen, Weidong [1 ]
Zhai, Pengfei [1 ]
Zhu, Heng [2 ]
Zhang, Yongbo [2 ]
机构
[1] Tianjin Univ, Tianjin 300072, Peoples R China
[2] Tianjin 20th Met Construct Co Ltd, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
packing; genetic algorithm; rectangular layer problem; particle swarm optimization; ORTHOGONAL PACKING; GENETIC ALGORITHM; SEARCH ALGORITHM;
D O I
10.1057/jors.2013.54
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, a rectangular layer-packing algorithm (RLPA) combined with modified genetic algorithm (GA) or particle swarm optimization (PSO) algorithm is developed to solve the problem with emerging restraints, which is raised from the two-dimensional rectangular packing problem with some small rectangles that need to be packed into a fixed rectangular object. RLPA is designed from the BL algorithm and lowest horizontal line algorithm. GA and PSO are also modified to satisfy the constraint conditions. Best GA or PSO parameters are obtained by conducting experiments on some typical instances. The results are also compared, which validate the quality of the solutions and show the effectiveness of the modified algorithm.
引用
收藏
页码:1068 / 1077
页数:10
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