基于蚁群算法的热精轧过程负荷分配策略研究  

Research on Hot Finishing Mills Load Distribution Strategies Based on Ant Colony Optimization Algorithm

作　　者：金阳 Jin Yang(ACRE Coking&Refractory Engineering Consulting Corporation(Dalian),MCC,Dalian Liaoning 116000)

机构地区：[1]中冶焦耐(大连)工程技术有限公司,辽宁大连116000

出　　处：《中国仪器仪表》2022年第11期71-76,共6页China Instrumentation

摘　　要：本文以热精轧机理数学模型为基础,以提高板形板厚设定精度为目标,试用蚁群优化算法求解热精轧过程负荷分配策略优化问题。首先,通过对决策变量离散化处理和对目标函数加权聚合,将蚂蚁系统算法(AS)应用于热精轧负荷分配优化计算当中,提出了基于AS算法的热精轧负荷分配优化策略,并通过仿真实验证明了AS算法在求解热精轧负荷分配优化问题的有效性。One ant colony optimization algorithm is applied to solve the load distribution optimization of the hot finishing mill based on the mathematical model to achieve the flatness and thickness targets.Through the methods of the discretization of decision variables and weighted summation of objective functions,the ant system optimization algorithm is applied to hot strip mills load distribution.Then the strategy of hot finishing mills load distribution based on ant system algorithm is proposed and the validity of this method is proved by simulation.

关 键 词：热精轧 负荷分配优化 群智能 蚁群算法 

分 类 号：TG335[金属学及工艺—金属压力加工] TP18[自动化与计算机技术—控制理论与控制工程]