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| 铝液配载问题建模及混合遗传算法优化 | |
| 引用本文： | 李建华,魏星,芮执元,王晓东.铝液配载问题建模及混合遗传算法优化[J].控制与决策,2014,29(5):933-936. |
| 作者姓名： | 李建华 魏星 芮执元 王晓东 |
| 作者单位： | 1. 兰州理工大学机电工程学院，兰州730050；2. 有色冶金新装备教育部工程研究中心，兰州730050； 3. 中国铝业股份有限公司兰州分公司，兰州730060 |
| 基金项目： | 国家国际科技合作项目(2011DFR70670)；教育部创新团队项目(IRT1140)；甘肃省科技支撑计划项目(1011GKCA007) |
| 摘 要： | 针对电解铝生产过程中电解槽调配及出铝调度问题, 在建立数学模型分析基础上, 设计一种混合策略优化算法. 通过引入人工经验排出特例, 利用遗传算法完成优化. 以出铝路径为优化适应度函数, 利用交叉算子调配电解槽铝液组合, 利用变异算子改变槽装车路线. 最后通过某铝厂电解槽3 组数据优化实例表明了所提出方法的有效性. |
| 关 键 词： | 配铝|遗传算法|工艺调度 |
| 收稿时间： | 2012/12/25 0:00:00 |
| 修稿时间： | 2013/5/16 0:00:00 |
Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization |
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| LI Jian-hua WEI Xing RUI Zhi-yuan WANG Xiao-dong.Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization[J].Control and Decision,2014,29(5):933-936. | |
| Authors: | LI Jian-hua WEI Xing RUI Zhi-yuan WANG Xiao-dong |
| Abstract: | A hybrid optimization strategy genetic algorithm is put forward to solve the problem of blending electrolyzer and aluminum scheduling in the electrolytic aluminum production process based on the mathematical model analysis. Artificial experience is used in order to rule out special case. The fitness function is optimized by the path of aluminum scheduling. The crossover operators are designed to implement the transformation of electrolyzer combination and the mutation operators are designed to change the route of loading. The effectiveness for the proposed method is demonstrated by 3 optimization examples of electrolyzer from a northwest aluminum plant of China. |
| Keywords: | Processs scheduling |
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