摘要
为了提高城区物流配送中心选址效率,克服传统方法须依靠人工计算的弊端,提出利用在线地图获取路径距离信息的方法。基于配送中心的实际建设和运营情况,确定配送中心选址问题的成本影响因素,设计选址优化系统框架,构建以总成本最小化的数学模型,采用基于整数编码的遗传算法对其进行求解。利用C#语言实现系统架构,并进行计算测试。测试发现:所构建系统能够自动获取城区各节点距离信息,较之传统手段减少了规划人员的工作量,围绕2类算例实施优化选址,均在较短时间内获得了切实可行的选址方案。结果表明,所提出的系统架构具有有效性和适用性,能够有效帮助规划人员实施物流节点选择。
In order to improve the efficiency of urban logistics distribution center location selection, and to overcome the shor t-comings of the traditional method based on human aided calculation, the online map is used to obtain the path distance informa-tion. Considering the practical construction and operation situation of the logistics distribution center, the cost related impact factors are determined and the location optimization frame is described. Then the mathematical formulation is proposed for min-imizing the total cost, and the genetic algorithm based on integer code is designed to solve the problem under consideration. The corresponding system is implemented by C^ language. The system is tested based on the practical data, and the computational results demonstrate that the proposed system can automatically obtain the distance information between various nodes and perform the location optimization. Finally the optimal feasible location scheme is delivered by the proposed system.
出处
《河北科技大学学报》
CAS
2017年第1期19-25,共7页
Journal of Hebei University of Science and Technology
基金
国家自然科学基金(51405403)
西南交通大学大学生科研训练计划项目(150208)
关键词
物流系统管理
物流配送中心
选址优化
遗传算法
在线地图
logistics systems management
logistics distribution center
location optimization
genetic algorithm
online map