DocumentCode :
3213135
Title :
Improved genetic algorithm with adaptive operators for integrated steelmaking optimum cast plan
Author :
Xue, Yuncan ; Yang, Qiwen ; Jian, Wei
Volume :
2
fYear :
2004
fDate :
2-6 Nov. 2004
Firstpage :
1279
Abstract :
The shortcoming of the standard genetic algorithm is analysed. An improved genetic algorithm with modified mutation operator and adaptive probabilities of crossover and mutation is proposed. Simulation experiments have been carried and the results show that the modifications are very effective. In this paper, a planning method of cast for steelmaking continuous casting production scheduling in CIMS is also studied. The cast plan model is established. The modified genetic algorithm is used to solve the optimum cast plan problem. The computation with practical data shows that the model and the solving method are very effective.
Keywords :
casting; computer integrated manufacturing; genetic algorithms; production control; production engineering computing; production planning; steel manufacture; CIMS; adaptive operator; cast plan model; genetic algorithm; optimum cast plan problem; planning method; steelmaking continuous casting production scheduling; Casting; Continuous production; Costs; Genetic algorithms; Genetic mutations; Job shop scheduling; Mathematical model; Metals industry; Production planning; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
Type :
conf
DOI :
10.1109/IECON.2004.1431760
Filename :
1431760
Link To Document :
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