Load Distribution Optimization System Based on MSCGA
This article using Mutative Scale Chaos Genetic Algorithm (MSCGA) in load distribution calculation of hot strip mill finishing rolling unit, using Visual C++ 6.0 developed set computing system software platform. It can achieve test calculation (positive algorithm) of field experience (mechanism) load distribution reasonable, inverse algorithm amendment, MSCGA optimization (manually and automated), device and technical parameters on-line adjustment, etcetera. The system has good people-machine interface and provides easy operation. It has fast operation speed and easy to amend parameters. Seamless butt of scene software can implement.
chaos optimization GA load distribution hot strip mill set terms
Yan Wang Ying Yan Shan-ping Qiao
School of Control Science and Engineering University of Jinan Jinan, China School of Information Science and Engineering University of Jinan Jinan, China
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-5
2009-08-12(万方平台首次上网日期,不代表论文的发表时间)