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Operation Optimization Problem of Hot Strip Mills based on GP Modeling

Tang Lianjie  Tang Lixin  
【摘要】:In this paper,we discuss rolling regulations of hot strip mills and use mechanism models to build operation optimization problem(OOP).However,the OOP takes on the character of highly nonlinearity and coupling.It is difficult to solve the global optimal solution of OOP.To overcome this difficulty,we present the method based on GP Modeling.Because(GP)problem can be transformed into a convex optimization problem,it is guaranted that any local minimum is also a global minimum.By well-posed algebraic transformation and using characteristics of(GP),the OOP problem is approximated as a convex programming.Our numerical experiments demonstrate this method can achieve the reasonable set-points for rolling regulations.
【作者单位】:Institute of Industrial & Systems Engineering,Northeastern University
【基金】:supported by Research and Development Program of China[2016YFB0901905] the Fund for the National Natural Science Foundation of China(Grant 61374203) the Major International Joint Research Project of the National Natural Science Foundation of China[Grant71520107004] the Fund for Innovative Research Groups of the National Natural Science Foundation of China[Grant 71621061]
【分类号】:TG333
【正文快照】:
1Introduction The rolling regulations include rolling force,rolling power,exit thickness of each stand and other parameters.The reasonable rolling regulations could not only get a good con?sol strategy to improve the working efficiency,but also re_duce

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