Load Distribution Optimization of Hot Strip Mills with Evolutionary Algorithm for Complex-process Optimization
会议名称：《2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)》
会议日期：2011年
学科分类：08[工学] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：supported by the National Natural Science Foundation of China (Grant No.60374032) the Foundation of Beijing Municipal Education
关 键 词：load-distribution scatter search evolutionary algorithm Complex-process optimization
摘 要：The evolutionary algorithm for complex-process optimization （EACOP） which has a flexible framework structure achieves load distribution including gauge and shape of hot rolling mill. The algorithm is embedded in various sub- methods that have search mechanism within the flexible framework, according to model’s characteristics of load distribution, with latin hypercube uniform sampling to improve initial diverse population strategy. Second, super- rectangle produced by go-beyond strategy is applied to in- depth search and improve the efficiency of the local optimal solution. The results show that the algorithm is able to use fewer adjustable parameters to complete to search and get feasible mathematical solution for the actual load distribution problems.