• Volume 31 Issue 8
    Aug.  2021
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    YAO Feng, YANG Wei-dong, ZHANG Ming. Improved PSO and its application to load distribution optimization of hot strip mills[J]. Chinese Journal of Engineering, 2009, 31(8): 1061-1066. doi: 10.13374/j.issn1001-053x.2009.08.022
    Citation: YAO Feng, YANG Wei-dong, ZHANG Ming. Improved PSO and its application to load distribution optimization of hot strip mills[J]. Chinese Journal of Engineering, 2009, 31(8): 1061-1066. doi: 10.13374/j.issn1001-053x.2009.08.022

    Improved PSO and its application to load distribution optimization of hot strip mills

    doi: 10.13374/j.issn1001-053x.2009.08.022
    • Received Date: 2009-02-19
      Available Online: 2021-08-09
    • An adaptive algorithm was improved and introduced to the particle swarm optimization algorithm (PSO). When the population evolution reaches certain generations, the search area is changed in accordance with the improved adaptive algorithm. It is achieved that the search area is revised automatically to increase the convergence rate and precision and prevent the premature convergence of the particle swarm algorithm. The conclusion was verified through simulation. Finally, the new algorithm was applied to the optimum design of scheduling hot strip mills, whose running time was less than 5 s, which validated the real-time application to provide an effective way to optimize.

       

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