悬臂式货架立体仓货位智能优化  

Storage Position Intelligent Optimization for Cantilever Rack Stereoscopic Warehouses

作　　者：张磊[1,2] 冷杰武 龚粤 ZHANG Lei;LENG Jiewu;GONG Yue(Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology,Guangzhou,510006;State Key Laboratory of Precision Electronics Manufacturing Technology and Equipment, Guangdong University of Technology,Guangzhou,510006)

机构地区：[1]广东工业大学广东省计算机集成制造重点实验室,广州510006 [2]广东工业大学省部共建精密电子制造技术与装备国家重点实验室,广州510006

出　　处：《中国机械工程》2019年第4期467-471,479,共6页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(51675108);广东省应用型科技研发资助项目(2015B010128007);广东省科技计划资助项目(2016A010106006)

摘　　要：通过分析悬臂式货架立体仓库的结构和存储特点,建立了仓库利用率最大化和仓库稳定性最优化的多目标数学模型,并采用智能算法进行优化分析。仿真试验结果表明了该算法是有效的,也证明了多种群遗传算法比简单遗传算法更适合悬臂式货架立体仓库的货位优化。The structures and storage characteristics of a cantilever rack stereoscopic warehouse was analyzed,a multi-objective mathematical model was built based on the maximization of the utilization rate of the stereoscopic warehouses and the stability optimization of the cantilever rack stereoscopic warehouses,and intelligent algorithm was used to optimize analyses.Finally,through the simulation,the results show that the algorithm is effective,and the multiple population genetic algorithm is proved more suitable than simple genetic algorithm in solving the storage position optimization for cantilever rack stereoscopic warehouses.

关 键 词：悬臂式货架立体仓库 多种群遗传算法 平面利用率最大化 稳定性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]