Article ID: | iaor201525347 |
Volume: | 65 |
Issue: | 7 |
Start Page Number: | 1068 |
End Page Number: | 1077 |
Publication Date: | Jul 2014 |
Journal: | Journal of the Operational Research Society |
Authors: | Zhang Yongbo, Chen Weidong, Zhai Pengfei, Zhu Heng |
Keywords: | heuristics: genetic algorithms |
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.