DocumentCode :
1605199
Title :
Improved particle swarm optimization algorithm for optimum charge plan for steelmaking-continuous casting production scheduling
Author :
Jian, Wei ; Xue, Yuncan ; Huang, Jiao
Author_Institution :
Dept. of Electr. Eng., Hubei Automotive Ind. Inst., Shiyan, China
Volume :
3
fYear :
2004
Firstpage :
1173
Abstract :
An optimum furnace charge plan model for steelmaking continuous casting planning and scheduling is presented. An improved particle swarm optimization is presented to solve the optimum charge plan problem. Simulations have been carried and the results show that the improved PSO has good performance than the standard PSO. This improved PSO has been used to solve the optimum charge plan problem. The computation with practical data shows that the model and the solving method are very effective.
Keywords :
casting; furnaces; optimisation; planning; scheduling; steel industry; casting planning; optimum charge plan problem; optimum furnace charge plan model; particle swarm optimization; particle swarm optimization algorithm; steelmaking-continuous casting production scheduling; Casting; Contracts; Costs; Furnaces; Job shop scheduling; Particle production; Particle swarm optimization; Processor scheduling; Scheduling algorithm; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
Type :
conf
DOI :
10.1109/ICIT.2004.1490726
Filename :
1490726
Link To Document :
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