摘要
目前的选矿月综合生产指标优化模型中,其约束条件的参数是不变化的,为了提高现场数据的有效性,考虑到实际情况,模型中约束条件的变化会导致优化问题变为一个动态多目标优化的问题。因此,提出了一种基于移民策略的混合进化的算法用于新模型求解,最后通过现场数据实验验证算法的有效性。
In the current optimization model of ore dressing comprehensive production indices, the parame- ters of the constraint conditions are unchangeable. In view of the effectiveness of field data and the actual situation,changes in constraints of the model causes the optimization to be dynamic and multi-objective. Therefore,a new model for solving the problem based on the migration strategy and the mixed evolutionary algorithm was constructed, and finally the validity of the algorithm was confirmed by experimental field data.
出处
《甘肃科学学报》
2015年第1期25-30,共6页
Journal of Gansu Sciences
关键词
动态优化
梯度驱动
混合进化算法
Dynamic optimization
Gradient driven
Mixed evolutionary algorithm
