DocumentCode :
3403784
Title :
Research and Implementation of Simulated Annealing Algorithm in the Large-Scale Rectangular Optimal Cutting Stock Problem
Author :
Yue, Qi ; Cao, Jun ; Wang, Fenghu
Author_Institution :
Northeast Forestry Univ., Harbin
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
1023
Lastpage :
1027
Abstract :
In this paper the large-scale rectangular guillotine cutting stock problem was solved by applying the "raising temperature controlled simulated annealing algorithm". The main procedures and methods of the algorithm were given. We analyzed the way to distinguish the local optimization and to determine the bound of the raising temperature. We also discuss how to choose the parameters properly in order to guarantee the optimization degree of the solution effectively. At last, the algorithm was implemented on computer. An example derived from the guillotine cutting was used to illustrate the method involved. The results showed that the algorithm given by this paper could make the utilization rate of raw material to more than 95%.
Keywords :
bin packing; simulated annealing; guillotine cutting; large-scale rectangular optimal cutting stock problem; optimization; raising temperature; simulated annealing; Computational modeling; Computer simulation; Educational institutions; Forestry; Large-scale systems; Production; Raw materials; Simulated annealing; Solid modeling; Temperature control; optimization; rectangular cutting stock; simulated annealing algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
Type :
conf
DOI :
10.1109/ICMA.2007.4303688
Filename :
4303688
Link To Document :
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