The traditional logistics route planning method is easily affected by cargo damage and
vehicle carbon emissions, which makes it difficult to obtain the optimal logistics route. To …

In order to effectively solve the inefficient path planning problem of mobile robots traveling in
multiple destinations, a multi-destination global path planning algorithm is proposed based …

In order to improve the distribution efficiency of cold chain logistics and reduce the
distribution cost, an optimization model of cross-docking scheduling of cold chain logistics …

Study on designing reasonable travel routes with the least time cost and the highest
experience index was conducted. An artificial intelligence‐based wireless sensor travel …

The traditional e-commerce logistics distribution path optimization algorithm has the problem
of a long time to find the optimal path. To solve this problem, this paper designs an e …

Introduction: In the current era of globalization and digitalization, international logistics faces
unique challenges and opportunities. The growing demand for efficient supply chain …

Artificial intelligence (AI) is playing an increasing role in every walk of life. This trend does
not spare supply chain management, involving the possibility to capture value, end-to-end …

The shortest path-searching with the minimal weight for multiple destinations is a crucial
need in an indoor applications, especially in supermarkets, warehouses, libraries, etc …

In order to improve transportation efficiency and reduce transportation costs, this paper
studies the application of artificial intelligence technology in logistics highway transportation …

To address the problems of high fuel consumption and severe traffic congestion caused by
blindly cruising, we propose a Gurobi optimization algorithm combined with an A ngle and …