基于改进自适应遗传算法的轧制规程优化设计  

Optimization Design of Rolling Schedule Based on Improved Adaptive Genetic Algorithm

作　　者：杨景明[1] 韩欣艳[1] 车海军[1] 杨志芬[1] 

机构地区：[1]燕山大学工业计算机控制工程河北省重点实验室,河北秦皇岛066004

出　　处：《轧钢》2011年第1期24-28,共5页Steel Rolling

基　　金："十一五"国家科技支撑项目(2007BAF02B12)

摘　　要：综合考虑影响冷连轧轧制规程的多种因素,以等功率裕量和预防打滑为目标函数,建立了轧制规程多目标优化模型,并采用改进的自适应遗传算法对轧制规程进行优化设计。该算法解决了标准遗传算法早熟收敛、收敛速度缓慢等问题。在某钢厂1270mm冷连轧机的生产实践证明,优化后的规程实现了各机架功率相对均衡分配,降低了打滑发生的概率,提高了产品质量。Considering the influence factors on rolling schedule of cold tandem rolling,a multi-objective optimized model was founded with isopower rest and slip prevent as object function.The rolling schedule was optimized by modified adaptive genetic algorithm.The problem such as early convergence and low speed of SGA were solved by this algorithm.The practice on 1270mm cold tandem rolling mill in a factory proved that the power of every stand was balanced,and the probability of slippage was decreased.The quality of products was improved by this model.

关 键 词：冷连轧 轧制规程 多目标优化 打滑 自适应遗传算法 

分 类 号：TG335.13[金属学及工艺—金属压力加工]