DocumentCode
1697822
Title
Design and development of intelligent optimization System for Cold Continuous Rolling Rules
Author
Wang, Zhaohui ; Zhou, Suqiang ; Ma, Zhiyuan ; Liu, Xiaoming
Author_Institution
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2010
Firstpage
1371
Lastpage
1375
Abstract
In order to reduce the energy consumption in the process of production, obtain the better rolling rules, a fast and efficient intelligent optimization System for Cold Continuous Rolling Rules is designed according to the actual situation of the production line in An Yang steel rolling plant. This system use the MAGA and PSO to optimize the rolling rules on the foundation of experience method, and obtain the rolling rules which made the overall energy consume minimum. The system has been put into use successfully and achieved good results.
Keywords
cold rolling; energy consumption; genetic algorithms; load distribution; multi-agent systems; particle swarm optimisation; rolling mills; steel industry; An Yang steel rolling plant; PSO; cold continuous rolling rule; energy consumption; intelligent optimization system; multiagent genetic algorithm; production process; Computational modeling; Energy consumption; Mathematical model; Optimization; Production; Steel; Torque; Genetic Algorithm; Intelligent Optimization; Multi-Agent; Rolling Rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554837
Filename
5554837
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