• 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