文献类型：期刊文献

中文题名：Optimization of Rolling Force Distribution Based on Niche Genetic Algorithm in Continuous Hot Rolling Mills

英文题名：Optimization of Rolling Force Distribution Based on Niche Genetic Algorithm in Continuous Hot Rolling Mills

作者：LIU Zi-ping[1];LI Li-xin[1]

第一作者：刘自萍

机构：[1]School of Mechanical and Electronic Engineering, Beijing Union University

第一机构：北京联合大学机器人学院

年份：2013

期号：4

起止页码：45-48

中文期刊名：计算机辅助绘图设计与制造：英文版

语种：英文

中文关键词：小生境遗传算法;优化模型;轧制力;热轧机;带钢热连轧机;在线计算;分布智能;搜索速度

外文关键词：hot rolling mill; scheduling; niche genetic algorithm

摘要：Based on the niche genetic algorithm, the intelligent and optimizing model for the rolling force distribution in hot strip mills was put forward. The research showed that the model had many advantages such as fast searching speed, high calculating precision and suiting for on-line calculation. A good strip shape could be achieved by using the model and it is appropriate and practicable for rolling producing.
Based on the niche genetic algorithm, the intelligent and optimizing model for the rolling force distribution in hot strip mills was put forward. The research showed that the model had many advantages such as fast searching speed, high calculating pre- cision and suiting for on-line calculation. A good strip shape could be achieved by using the model and it is appropriate and practica-ble for rolling producing.