基于粒子群算法的粗轧宽展模型参数优化  

Width Expansion Model Optimizing of Roughing Mill Based on Particle Swarm Algorithm

作　　者：吴建峰[1] 符强[2] 

机构地区：[1]宝钢股份集团公司技术中心,上海201900 [2]南昌大学自动化工程学院,江西南昌330029

出　　处：《控制工程》2003年第4期332-334,共3页Control Engineering of China

摘　　要：粒子群优化算法因为其简单可行以及效果显著而越来越广泛地被应用于模型优化中,采用粒子群算法对粗轧宽展控制模型进行优化,解决了传统方法难以解决的问题。结果表明,优化后的模型效果明显优于原来模型,体现了粒子群算法在优化领域的优越性。研究优化粒子群算法,使其在更多领域得到实际应用,具有广泛的意义。?Due to the simplicity and the prominent effect, Particle Swarm Optimization algorithm is applied in model optimization more and more frequently and is used to optimize the mathematical model for the width expansion,which solves the difficulties. The results from the computer simulation show that the algorithm's validity and effectiveness. It is more significant to research the algorithm.

关 键 词：粒子群优化 遗传算法 粗轧 宽展 

分 类 号：TG334.16[金属学及工艺—金属压力加工]