中国机械工程2019，Vol.30Issue(4)：467-471,479,6.DOI:10.3969/j.issn.1004-132X.2019.04.013
悬臂式货架立体仓货位智能优化
Storage Position Intelligent Optimization for Cantilever Rack Stereoscopic Warehouses
摘要
Abstract
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Key words
cantilever rack stereoscopic warehouse/multiple population genetic algorithm/maximization of plane utilization/stability分类
信息技术与安全科学引用本文复制引用
张磊,冷杰武,龚粤..悬臂式货架立体仓货位智能优化[J].中国机械工程,2019,30(4):467-471,479,6.基金项目
国家自然科学基金资助项目(51675108) （51675108）
广东省应用型科技研发资助项目(2015B010128007) （2015B010128007）
广东省科技计划资助项目(2016A010106006) （2016A010106006）
