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Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model

  • Wang Ya-lin Email author
  • Ma Jie 
  • Gui Wei-hua 
  • Yang Chun-hua 
  • Zhang Chuan-fu 
Article

Abstract

A multi-objective intelligent coordinating optimization strategy based on qualitative and quantitative synthetic model for Pb-Zn sintering blending process was proposed to obtain optimal mixture ratio. The mechanism and neural network quantitative models for predicting compositions and rule models for expert reasoning were constructed based on statistical data and empirical knowledge. An expert reasoning method based on these models were proposed to solve blending optimization problem, including multi-objective optimization for the first blending process and area optimization for the second blending process, and to determine optimal mixture ratio which will meet the requirement of intelligent coordination. The results show that the qualified rates of agglomerate Pb, Zn and S compositions are increased by 7.1%, 6.5% and 6.9%, respectively, and the fluctuation of sintering permeability is reduced by 7.0%, which effectively stabilizes the agglomerate compositions and the permeability.

Key words

Pb-Zn sintering blending process qualitative and quantitative synthetic model multi-objective optimization area optimization intelligent coordination 

CLC number

TP273 

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Copyright information

© Science Press 2001

Authors and Affiliations

  • Wang Ya-lin 
    • 1
    Email author
  • Ma Jie 
    • 1
  • Gui Wei-hua 
    • 1
  • Yang Chun-hua 
    • 1
  • Zhang Chuan-fu 
    • 2
  1. 1.School of Information Science and EngineeringCentral South UniversityChangshaChina
  2. 2.School of Metallurgical Science and EngineeringCentral South UniversityChangshaChina

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