Genetic Algorithm-Based Optimization Used in Rolling Schedule

钢铁研究学报(英文版), 2008, 15(2): 18-22.

^1, , ^2, , ^3, , ^4,

1.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

2.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

3.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

4.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

Genetic Algorithm-Based Optimization Used in Rolling Schedule

YANG Jing-ming ^1, , CHE Hai-jun ^2, , DOU Fu-ping ^3, , ZHOU Tao ^4,

1.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

2.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

3.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

4.Institute of Electrical Engineering, Yanshan University, Qinhuangdao 006004, Hebei, China

Keywords： tandem cold rolling

A genetic algorithm-based optimization was used for 1 370 mm tandem cold rolling schedule, in which the press rates were coded and operated. The superiority individual is reserved in every generation. Analysis and comparison of optimized schedule with the existing schedule were offered. It is seen that the performance of the optimal rolling schedule is satisfactory and promising.

参考文献

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Genetic Algorithm-Based Optimization Used in Rolling Schedule

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