Intelligent optimization of optimal operational pattern in the process of copper converting furnace
铜转炉生产操作模式智能优化

Operational patterns are used to describe a set of on-line operational parameters which need to be determined on line,and an intelligent method based on neural network combined with improved chaotic genetic algorithm for optimal operational patterns is proposed to improve the operational level of copper converting furnace.Firstly,the optimal samples set is filtered from the historical samples set.Then,the functional relation with objective and technical parameters is trained by a neural network model.Finally,chaotic genetic algorithm with chaotic variables is used to search the optimal operational pattern.The running results of an intelligent system of optimal operational parameters based on the method in the process of copper converting furnace show that the output of converter increases by 6%,and the amount of the treated cool materials rises by 7.8%.