A hybrid genetic algorithm-heuristic for a two-dimensional orthogonal packing problem

2007 ◽  
Vol 183 (3) ◽  
pp. 1212-1229 ◽  
Author(s):  
José Fernando Gonçalves
2009 ◽  
Vol 14 (1) ◽  
pp. 60-64
Author(s):  
Qingming Wu ◽  
Wei Yang ◽  
Qiang Zhang ◽  
Junjie Zhou

Author(s):  
Ahmed Mellouli ◽  
Faouzi Masmoudi ◽  
Imed Kacem ◽  
Mohamed Haddar

In this paper, the authors present a hybrid genetic approach for the two-dimensional rectangular guillotine oriented cutting-stock problem. In this method, the genetic algorithm is used to select a set of cutting patterns while the linear programming model permits one to create the lengths to produce with each cutting pattern to fulfill the customer orders with minimal production cost. The effectiveness of the hybrid genetic approach has been evaluated through a set of instances which are both randomly generated and collected from the literature.


2013 ◽  
Vol 64 (1) ◽  
pp. 69-83 ◽  
Author(s):  
Pan He ◽  
Kaigui Wu ◽  
Jie Xu ◽  
Junhao Wen ◽  
Zhuo Jiang

2007 ◽  
Vol 183 (3) ◽  
pp. 1196-1211 ◽  
Author(s):  
François Clautiaux ◽  
Jacques Carlier ◽  
Aziz Moukrim

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