农村电商物流配送线路优化研究

农村电商物流配送线路优化研究(任务书,开题报告,论文16000字)
摘要
现今农村电商快速发展，农村物流配送发展速度较慢，因此，国家出台很多政策鼓励农村电商和物流发展，但是由于农村物流配送成本高限制了它的发展，如果可以降低农村物流成本，那么将对农村经济发展起到很重要的作用，同时也满足农村电商快速发展的需要。因此本文将蚁群算法和2-opt法相结合，根据约束条件建立数学模型，通过Matlab运行程序，对农村电商车辆配送的路线选择进行优化，同时，将基本蚁群算法运行结果与添加2-opt法之后的运行结果进行比较，一方面说明蚁群算法与其他算法结合之后对复杂问题的适用性得到提高，另一方面突出本文主旨，说明农村电商物流在配送过程中，考虑物流配送过程中车辆数量、车辆载重吨等因素之后，能真正有效的降低物流配送成本，优化配送线路。本文所得结果对于农村电商的发展和农村电商物流配送优化具有重要的指导意义。
关键词：蚁群算法；物流配送；降低成本
 
Abstract
As the rapid development of rural e-commerce, the development of rural logistics and distribution system is relatively slow, the state has introduced many policies to encourage rural e-commerce and logistics development. However, due to the high cost of rural logistics and distribution, which limits its development, if rural logistics costs can be reduced, then It will play a very important role in the development of the rural economy and at the same time meet the needs of the rapid development of rural e-commerce. Therefore, this paper combines ant colony algorithm and 2-opt method, establishes mathematical model according to constraint conditions, and optimizes route selection of rural e-commerce vehicle distribution through Matlabrunning program. At the same time, comparing the results of the basic ant colony algorithm with the results obtained after adding the 2-opt method, on the one hand, it shows that the application of the ant colony algorithm combined with other algorithms improves the applicability of the complex problem; on the other hand, it highlights the main idea of the paper, and shows that in the distribution process of rural e-commerce logistics, logistics distribution is considered. After the number of vehicles in the process, vehicle load-carrying tons and other factors, can effectively reduce the cost of logistics and distribution, optimize the distribution line. The results obtained in this paper have important guiding significance for the development of rural e-commerce and the optimization of rural e-commerce logistics distribution.

[资料来源：http://www.THINK58.com]

Key Words：Ant Colony Algorithm; Logistics Distribution; Cost Reduction
 
目录
第1章 绪论    1
1.1 研究目的与意义    1
1.1.1 研究背景    1
1.1.2 目的与意义    1
1.2 国内外研究现状    1
1.2.1 国内研究现状    1
1.2.2 国外研究现状    2
1.3 本文的主要内容及技术路线    3
1.3.1 主要内容    3
1.3.2 研究方法——蚁群算法    3
1.3.3 技术路线    4
第2章 农村电商物流概述    5
2.1 农村电商界定    5
2.2 农村电商物流    5
2.2.1 农村电商物流自身特征分析    5
2.2.2 农村电商物流配送流程及特征分析    5
2.2.3 农村电商物流配送路线问题分析    6
第3章 农村电商物流配送线路优化模型    8
3.1 农村物流配送问题假设    8 [资料来源：http://www.THINK58.com]
3.2 建立数学模型    9
第4章 优化模型求解及分析    11
4.1 基于蚁群算法的物流配送路线优化    11
4.1.1 蚁群算法基本思想    11
4.1.2 蚁群算法特征及优缺点    12
4.1.3 蚁群算法物流配送线路优化数学模型    13
4.2 优化模型求解    14
4.2.1 蚁群算法主要框架及相关规则    14
4.2.2 蚁群算法步骤与流程图    14
4.2.3 蚁群算法与2-opt法结合    16
4.2.4 蚁群算法模型求解基本数据    18
4.3 优化模型结果分析    20
4.3.1 蚁群算法运行    20
4.3.2 改进蚁群算法运行    21
4.3.3 结果分析    23
4.4 农村电商物流线路优化建议    23
第5章 结论    26
参考文献    27
附录    28
致谢    34