重庆工商大学学报（自然科学版）

引用本文:	叶春森，王雪轩，时章漫，黄成成.人工智能背景下的配送网络优化方法研究(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2018，35（6）：22-26
	CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435

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人工智能背景下的配送网络优化方法研究
叶春森，王雪轩，时章漫，黄成成^1,2
1安徽大学商学院，合肥，230601;2安徽大学物流与供应链研究中心，合肥 230601

摘要:

伴随着人工智能的快速发展，在配送领域内无人机得到广泛应用；针对卡车和无人机在配送中的特征，提出卡车与无人机联合配送模式下的路线网络规划问题；在假定该模式具体应用情境的基础上，分别以碳排放量以及配送效率为目标建立路径规划模型，根据模型的特征设计了相应的求解方法；最后通过算例论证联合配送模式的可行性与有效性。

关键词: 人工智能联合配送配送路径规划配送效率碳排放

DOI：

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基金项目:

Research on Optimization of Distribution Network under Artificial Intelligence Background

YE Chun sen1，2 ，WANG Xue xuan1，SHI Zhang man1 ，HUANG Cheng cheng1

Abstract:

With the rapid development of artificial intelligence，UAVs are widely used in the field of distribution Aiming at the characteristics of truck and UAV in distribution，this paper proposes the route network planning problem under the mode of joint delivery between truck and UAV Based on the specific application scenarios of this model，the path planning model is set up respectively based on the carbon emissions and the distribution efficiency，and the corresponding solution method is designed according to the characteristics of the model Finally，an example is given to illustrate the feasibility and effectiveness of the joint distribution mode

Key words: artificial intelligence joint delivery delivery path planning delivery efficiency carbon emission