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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554837