摘要
提出基于IGA模型的热连轧精轧机组负荷分配的智能优化新方法,该方法具有计算 精度高、速度快等特点,且适合在线计算.实验数据对比分析结果表明了该方法的有效性,为热 连轧精轧机组轧制规程的智能优化设计提供了一条新途径.
A new way was presented to optimize the scheduling of finisher of hot continuous rolling mills by means of Immune Genetic Algorithm. The method has advantages such as fast searching speed, high com-puting precision, suiting to on-line calculation. Test results show that the new method is valid. This method also provides another way for optimal design of the schedule of finisher of hot continuous mills.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2002年第3期339-341,共3页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金资助课题(No.69772012)