Digital twin applications in urban logistics: An overview
Urban traffic attributed to commercial and industrial transportation is observed to largely
affect living standards in cities due to external factors like pollution and congestion. To …
affect living standards in cities due to external factors like pollution and congestion. To …
Machine learning to solve vehicle routing problems: A survey
A Bogyrbayeva, M Meraliyev… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper provides a systematic overview of machine learning methods applied to solve NP-
hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both …
hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both …
Learning to solve vehicle routing problems: A survey
This paper provides a systematic overview of machine learning methods applied to solve NP-
hard Vehicle Routing Problems (VRPs). Recently, there has been a great interest from both …
hard Vehicle Routing Problems (VRPs). Recently, there has been a great interest from both …
[HTML][HTML] A machine learning optimization approach for last-mile delivery and third-party logistics
Third-party logistics is now an essential component of efficient delivery systems, enabling
companies to purchase carrier services instead of an expensive fleet of vehicles. However …
companies to purchase carrier services instead of an expensive fleet of vehicles. However …
Reinforcement learning-based nonautoregressive solver for traveling salesman problems
The traveling salesman problem (TSP) is a well-known combinatorial optimization problem
(COP) with broad real-world applications. Recently, neural networks (NNs) have gained …
(COP) with broad real-world applications. Recently, neural networks (NNs) have gained …
Learning to CROSS exchange to solve min-max vehicle routing problems
CROSS exchange (CE), a meta-heuristic that solves various vehicle routing problems
(VRPs), improves the solutions of VRPs by swapping the sub-tours of the vehicles. Inspired …
(VRPs), improves the solutions of VRPs by swapping the sub-tours of the vehicles. Inspired …
[HTML][HTML] Sustainable paddy farming in rural Japan: Leveraging farmer integration and agricultural UAVs for synergistic solutions
R Yamashita, K Kidoguchi, T Oshima… - Journal of Cleaner …, 2024 - Elsevier
For sustainable rice farming, IoT-based smart agricultural technologies are attracting
worldwide attention. In particular, agricultural UAVs, which are expected to be utilized in …
worldwide attention. In particular, agricultural UAVs, which are expected to be utilized in …
Collaborative orchard pesticide spraying routing problem with multi-vehicles supported multi-UAVs
The application of UAVs in orchard management presents a substantial opportunity to
enhance efficiency and promote environmentally friendly agricultural production. While …
enhance efficiency and promote environmentally friendly agricultural production. While …
Integrating Machine Learning Into Vehicle Routing Problem: Methods and Applications
R Shahbazian, LDP Pugliese, F Guerriero… - IEEE …, 2024 - ieeexplore.ieee.org
The vehicle routing problem (VRP) and its variants have been intensively studied by the
operational research community. The existing surveys and the majority of the published …
operational research community. The existing surveys and the majority of the published …
[HTML][HTML] A scalable learning approach for the capacitated vehicle routing problem
Designing efficient heuristics for the different variants of vehicle routing problems and
customising the heuristics to various input distributions is a time-consuming and expensive …
customising the heuristics to various input distributions is a time-consuming and expensive …