Title :
Load Distribution Optimization System Based on MSCGA
Author :
Wang, Yan ; Yan, Ying ; Qiao, Shan-Ping
Author_Institution :
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
Abstract :
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.
Keywords :
C++ language; genetic algorithms; production engineering computing; rolling mills; software engineering; user interfaces; MSCGA; Visual C++ 6.0; hot strip mill finishing rolling unit; load distribution; mutative scale chaos genetic algorithm; optimization; people-machine interface; scene software; seamless butt; Chaos; Distributed computing; Finishing; Genetic algorithms; Genetic engineering; Job shop scheduling; Milling machines; Optimization methods; Strips; System software;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.141
