中文摘要：

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。

英文摘要：

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.