DocumentCode :
1571034
Title :
Optimal combination problem of orders in cold rolling plant solved by partheno-genetic algorithm
Author :
Yaohua Li ; Dabo Zhang ; Ning, Shushi ; Wang, Wei ; Zhu, Xueqi
Author_Institution :
Res. Center of Inf. & Control, Dalian Univ. of Technol., China
Volume :
4
fYear :
2004
Firstpage :
2953
Abstract :
The order sequence problem of cold rolling production scheduling in iron and steel enterprises was discussed. The production planning of cold rolling was regarded as a traveling salesman problem. The bounce of the width, gauge and hardness of the production orders was considered and an order sequence model of order optimal combination was suggested. A partheno-genetic algorithm is used to solve the model and the algorithm has a characteristic of genetic operation being done on a single individual. The algorithm uses a new coding method based on natural serial number and some operators such as gene exchange, gene shift. The simulation with production data shows that the algorithm suggested in this paper is feasible.
Keywords :
cold rolling; genetic algorithms; production control; production planning; steel industry; travelling salesman problems; cold rolling plant; gene exchange; gene shift; iron and steel enterprises; natural serial number; optimal combination problem; order sequence problem; partheno-genetic algorithm; production planning; production scheduling; traveling salesman problem; Companies; Genetics; Iron; Production planning; Scheduling algorithm; Software algorithms; Steel; Time of arrival estimation; Traveling salesman problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1343057
Filename :
1343057
Link To Document :
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