基于粒子群算法的冷连轧轧制规程优化设计  

PSO algorithm based schedule optimization for tandem cold mills

作　　者：车海军[1] 刘畅[1] 孙晓娜[1] 杨景明[1] 

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004

出　　处：《钢铁研究》2009年第3期20-23,共4页Research on Iron and Steel

摘　　要：选取等相对负荷为目标函数,令轧制力、轧制功率、轧制力矩、速度等参数满足一定约束条件,采用罚函数法,将有约束条件转为无约束条件,采用粒子群算法对目标函数进行优化,求得最优解,这可使各机架功率合理分配,设备能力充分发挥,生产效率提高。This paper adopts equal relatively load as objective function, makes rolling force, rolling power, rolling torque, speed and other parameters to meet certain restrictive conditions. SUMT algorithm was used to change constraints to non-binding conditions. PSO algorithm was applied to optimize objective functions to obtain optimal solution. As a result, reasonable distribution of tandem cold rolling power and full use of equipment capacity were realized, resulting in the improvement of production efficiency.

关 键 词：粒子群 罚函数 冷连轧 轧制规程优化 

分 类 号：TG335[金属学及工艺—金属压力加工]