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《Bao Steel Technology》 2003-01
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Optimization of C-Mn Steel Industrial Process Using Multigroup Genetic Algorithm Based on Simulated Annealing

DAI Yuan-yong CHEN Su-qiong SHEN Rong-fa 2.HE Yi-zhu YU Liang (1.Shanghai Baosteel Group Meishan Iron and Steel Corp,Nanjing China,210039; 2.Anhui University of Technology,Maanshan China,243002)  
Simulated annealing and multigroup evolution are two helpful methods,which can improve the performance of genetic algorithm.These methods are well combined and a multigroup genetic algorithm based on simulated annealing is derived and applied to the optimization of C-Mn steel industrial process.The satisfied chemical composition and process parameters can be derived according to the required mechanical properties.
【CateGory Index】: TG335
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