摘要
针对物流配送中心选址候选集构建中的地理区域离散化问题,提出一种基于k-增长多尺度网格模型的选址区域离散化方法,根据区域选址敏感度不同,进行尺度差异化网格划分.在此基础上,提出了多尺度网格投影及膨胀算法,识别并剔除"限制性区域"及距其指定范围内的多尺度网格.数值实验表明了所提出的模型及算法的有效性.
To the discrete candidate set construction method（division of the continuous geographic district） for distribution center location problem, k-growth multi-scale gridding model is proposed to discrete the continuous geographic district, in which gridding scale varies according to location sensitivity. Furthermore, projection and dilation algorithm for multi-scale grid is given to identify the restriction regions and adjacent grid set within user-defined distance parameter. Finally, numerical experiments on real dataset show the effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2011年第8期1141-1146,共6页
Control and Decision
基金
国家自然科学基金项目(70771007)
教育部新世纪优秀人才支持计划项目(NCET-05-0097)
关键词
物流配送中心选址
候选集构建
多尺度网格
logistic distribution center location
candidate set construction
multi-scale gridding model
