| 三种优化烧结配料方法的比较 |
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| 引用本文： | 吕学伟,白晨光,邱贵宝,欧阳奇,黄玉明. 三种优化烧结配料方法的比较[J]. 烧结球团, 2006, 31(2): 11-15 |
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| 作者姓名： | 吕学伟 白晨光 邱贵宝 欧阳奇 黄玉明 |
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| 作者单位： | 重庆大学材料科学与工程学院;重庆钢铁集团有限公司 |
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| 摘 要： | 本文通过运用线性规划法、蒙特卡洛法和遗传算法对相同的烧结配料问题进行优化，并对得到的结果进行了分析。从最终结果、求解效率、易用性等方面比较了3种方法的优劣，最后得出结论：遗传算法更适应今后烧结配料优化的计算要求。
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| 关 键 词： | 烧结配料优化 线性规划法 蒙特卡洛法 遗传算法 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006-02-20 |
COMPARISON OF THREE CALCULATION METHODS USED IN SINTER MIX PROPORTIONING OPTIMIZATION |
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| Lu Xuewei et al.. COMPARISON OF THREE CALCULATION METHODS USED IN SINTER MIX PROPORTIONING OPTIMIZATION[J]. Sintering and Pelletizing, 2006, 31(2): 11-15 |
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| Authors: | Lu Xuewei et al. |
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| Affiliation: | Lu Xuewei et al. |
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| Abstract: | In order to optimize the sinter mix proportioning, three different kinds of optimizing methods, Linear Programming, Monte Carlo Algorithm and Genetic Algorithm, were used to calculate proportioning scheme , under the identical conditions, and optimum solutions were analyzed from the final solution, efficiency, convenience and other aspects. The results indicate that the Genetic Algorithm will be the best method for the demanding of sinter mix proportioning optimization. |
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| Keywords: | sinter mix proportioning optimization Linear Programming Monte Carlo Algorithm Genetic Algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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