| 基于模拟退火多种群遗传算法的C-Mn钢生产优化 |
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| 引用本文： | 戴元永,陈素琼,申荣法,何宜柱,余亮.基于模拟退火多种群遗传算法的C-Mn钢生产优化[J].宝钢技术,2003(1):18-22. |
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| 作者姓名： | 戴元永 陈素琼 申荣法 何宜柱 余亮 |
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| 作者单位： | 1. 宝钢集团公司,梅山钢铁公司,江苏,南京,210039
2. 安徽工业大学,安徽,马鞍山,243002 |
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| 摘 要： | 模拟退火和多种群进化是改进遗传算法的两种主要手段，文章将这两种方法相结合，建立了基于模拟退火的多种群遗传算法，并将该算法应用于C—Mn钢生产时内控成分和轧制工艺的优化，以满足用户对钢产品的力学性能和化学成分的要求。
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| 关 键 词： | 锰钢 多种群遗传算法 C—MN钢 内控成分 轧钢工艺 优化 |
| 文章编号： | 1008-0716(2003)01-0018-05 |
Optimization of C-Mn Steel Industrial Process Using Multigroup Genetic Algorithm Based on Simulated Annealing |
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| DAI Yuan-yong,CHEN Su-qiong,SHEN Rong-fa,.HE Yi-zhu,YU Liang.Optimization of C-Mn Steel Industrial Process Using Multigroup Genetic Algorithm Based on Simulated Annealing[J].Baosteel Technology,2003(1):18-22. |
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| Authors: | DAI Yuan-yong CHEN Su-qiong SHEN Rong-fa HE Yi-zhu YU Liang |
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| Affiliation: | DAI Yuan-yong CHEN Su-qiong SHEN Rong-fa 2.HE Yi-zhu YU Liang |
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| Abstract: | 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. |
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| Keywords: | Multigroup genetic algorithm C-Mn steel Internal controlled composition Rolling technology Optimization |
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