Heuristic for the rectangular two-dimensional single stock size cutting stock problem with two-staged patterns

2013 ◽  
Vol 231 (2) ◽  
pp. 288-298 ◽  
Author(s):  
Yaodong Cui ◽  
Zhigang Zhao
2012 ◽  
Vol 218 (1) ◽  
pp. 251-260 ◽  
Author(s):  
Fabio Furini ◽  
Enrico Malaguti ◽  
Rosa Medina Durán ◽  
Alfredo Persiani ◽  
Paolo Toth

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.


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