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针对当前农产品冷链物流配送方法存在配送距离长、成本高的问题,提出基于多层复杂网络的农产品智慧冷链物流配送路径方法。将物流配送网络作为多层复杂网络转换为无向图形式,得出最小化目标函数和约束条件;引入人工蜂群算法,初始化人工蜂群;采用自然数编码,构造食物源编码;利用交换领域点,生成候选食物源;计算适应度函数,获取最优配送路径。实验结果表明,所提方法的配送距离最短,配送成本控制最低。
Abstract:Aiming at the problems of long distance and high cost in the current cold chain logistics distribution method of agricultural products, a new intelligent cold chain logistics distribution method based on multi-layer complex network is proposed. The logistics distribution network is transformed into a non-directed graph as a multi-layer complex network, and the objective function and constraint conditions are minimized. The artificial colony algorithm is introduced, the artificial colony is initialized, the natural number code is used to construct the food source code, the candidate food source is generated by using the exchange field point, the fitness function is calculated, and the optimal distribution path is obtained. The experimental results show that the proposed method has the shortest distribution distance and the lowest cost control.
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基本信息:
中图分类号:O157.5;F326.6
引用信息:
[1]刘雪雪.基于多层复杂网络的农产品智慧冷链物流配送路径研究[J].微型电脑应用,2022,38(09):77-79+84.
基金信息:
陕西铁路工程职业技术学院科研基金项目(KY2020-19)
2022-09-20
2022-09-20