A study of the grinding of magnetite/limestone mixture in a stirred mill by the attainable region method

2021 ◽  
Author(s):  
Wang Guo ◽  
Yuexin Han ◽  
Peng Gao ◽  
Yanjun Li ◽  
Zhidong Tang
Keyword(s):  
Region Method ◽  
Attainable Region

Use of the attainable region method to simulate a full-scale ball mill with a realistic transport model

2015 ◽  
Vol 73 ◽  
pp. 116-123 ◽  
Author(s):  
Ngonidzashe Chimwani ◽  
François K. Mulenga ◽  
Diane Hildebrandt ◽  
David Glasser ◽  
Murray M. Bwalya
Keyword(s):  
Ball Mill ◽  
Transport Model ◽  
Full Scale ◽  
Region Method ◽  
Attainable Region

Application of the attainable region method to determine optimal conditions for milling and leaching

2017 ◽  
Vol 317 ◽  
pp. 400-407 ◽  
Author(s):  
N. Hlabangana ◽  
G. Danha ◽  
M.M. Bwalya ◽  
D. Hildebrandt ◽  
D. Glasser
Keyword(s):  
Optimal Conditions ◽  
Region Method ◽  
Attainable Region

Effect of feed size on residence time and energy consumption in a stirred mill: An attainable region method

2021 ◽  
Vol 379 ◽  
pp. 485-493
Author(s):  
Wang Guo ◽  
Yuexin Han ◽  
Peng Gao ◽  
Yanjun Li ◽  
Zhidong Tang
Keyword(s):  
Energy Consumption ◽  
Residence Time ◽  
Region Method ◽  
Attainable Region ◽  
Time And Energy

Multi-feed attainable region construction using the Shrink–Wrap algorithm

2008 ◽  
Vol 63 (23) ◽  
pp. 5571-5592 ◽  
Author(s):  
Alberto Posada ◽  
Vasilios Manousiouthakis
Keyword(s):  
Attainable Region

Based on GA Mixed with Trust Region Method Solving Nonlinear Least Square Problems

2011 ◽  
Vol 141 ◽  
pp. 92-97
Author(s):  
Miao Hu ◽  
Tai Yong Wang ◽  
Bo Geng ◽  
Qi Chen Wang ◽  
Dian Peng Li
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problems ◽  
Trust Region Method ◽  
Trust Region ◽  
Least Square ◽  
Search Range ◽  
Genetic Search ◽  
Region Method ◽  
Unconstrained Optimization Problems ◽  
Least Square Problems

Nonlinear least square is one of the unconstrained optimization problems. In order to solve the least square trust region sub-problem, a genetic algorithm (GA) of global convergence was applied, and the premature convergence of genetic algorithms was also overcome through optimizing the search range of GA with trust region method (TRM), and the convergence rate of genetic algorithm was increased by the randomness of the genetic search. Finally, an example of banana function was established to verify the GA, and the results show the practicability and precision of this algorithm.

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