Title :
Research on Operation Optimization Algorithm of Milling System
Author :
Wang Xiang-feng ; Li, Sun ; Zhang Gang ; Sun Li ; Hu Jun-yu
Author_Institution :
Shenyang Inst. of Eng., Shenyang, China
Abstract :
A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which can guide the operator´s operation. Tests show that this method has high modeling accuracy and optimization speed, also, it proves good reliability and efficiency.
Keywords :
genetic algorithms; milling; production engineering computing; reliability; support vector machines; composite algorithm; genetic algorithm; milling system operation optimization; milling unit consumption; modeling accuracy; operation optimization algorithm; operator operation; optimal operation parameters; optimization speed; reliability; support vector machine; working conditions; Coal; Genetic algorithms; Kernel; Milling; Optimization; Support vector machines; Training; milling system; milling unit consumption; model optimization; operation optimization;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.350
