基于混沌遗传算法的板坯入库决策优化方法  

Optimization Method of Slab Location Decision Model Based on Chaos Genetic Algorithm

作　　者：李耀华[1] 徐乐江[2] 胡国奋[2] 王伟[1] 宁树实[1] 

机构地区：[1]大连理工大学信息与控制研究中心,辽宁大连116024 [2]上海宝信软件股份有限公司,上海201203

出　　处：《系统仿真学报》2005年第11期2620-2623,共4页Journal of System Simulation

基　　金：国家自然科学基金(60474058);国家863计划重点课题(2004AA412010)

摘　　要：针对热轧板坯库优化管理,分析了板坯入库操作流程,并建立了板坯入库决策的优化模型,考虑了板坯入库库位和垛位选择的多种原则,对一个板坯入库批次进行全局优化运算,可快速为板坯选择最优的库位和垛位。对于模型的求解方法,构造了一种自适应的混沌遗传算法,采用自然数编码方式,动态的在线调整算法的交叉和变异概率,并采用混沌优化方法作为变异算子。对生产数据进行实际排产的结果表明,建立的模型和算法切实可行,可应用于生产实际。Operation flow of slab entering slab-yard was analyzed and a slab location decision optimal model was suggested. The model considered several rules of slab location and pile position selection and was a general optimal operation to a slab lot of entering slab-yard. An adaptive chaos genetic algorithm was used to solve the model. The algorithm used natural number coding method with dynamically adjustment for the probability coefficients of crossover and mutation, and used chaos optimization method as the mutation operator. The simulation with production data shows that the model and algorithm suggested in this paper are feasible.

关 键 词：板坯库优化管理 入库决策优化 遗传算法 混沌优化方法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]