摘要
自动化立体库作为现代物流和自动化技术的产物,广泛应用于现代企业中。对自动化立体库进行货位优化可以提高仓储效率,因此建立了三个多目标函数优化模型,并利用遗传模拟退火算法求解,验证了模型与遗传模拟退火算法的有效性。
As the product of modern logistics and automation technology, automated stereoscopic warehouse is widely used in modern enterprises. In this paper, three multi-objective function optimization models are established, and the genetic simulated annealing algorithm is used to solve the problem, which verifies the validity of the model and genetic simulated annealing algorithm.
作者
刘增辉
Liu Zenghui(Hebei University of Technology,Tianjin 300400)
出处
《现代工业经济和信息化》
2018年第17期23-24,共2页
Modern Industrial Economy and Informationization
关键词
料箱自动化立体库
货位优化
遗传模拟退火算法
material box automated stereoscopic warehouse
cargo position optimization
genetic simulated annealing algorithm
