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

Volume

2

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

144

Lastpage

148

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.141

Filename

5254438