Combinatorial optimization-enriched machine learning to solve the dynamic vehicle routing problem with time windows
With the rise of e-commerce and increasing customer requirements, logistics service
providers face a new complexity in their daily planning, mainly due to efficiently handling …
providers face a new complexity in their daily planning, mainly due to efficiently handling …
Rbg: Hierarchically solving large-scale routing problems in logistic systems via reinforcement learning
The large-scale vehicle routing problems (VRPs) are defined based on the classical VRPs
with thousands of customers. It is an important optimization problem in modern logistic …
with thousands of customers. It is an important optimization problem in modern logistic …
Rich vehicle routing problem: Survey
The Vehicle Routing Problem (VRP) is a well-known research line in the optimization
research community. Its different basic variants have been widely explored in the literature …
research community. Its different basic variants have been widely explored in the literature …
Efficient active search for combinatorial optimization problems
Recently numerous machine learning based methods for combinatorial optimization
problems have been proposed that learn to construct solutions in a sequential decision …
problems have been proposed that learn to construct solutions in a sequential decision …
Solving multi-agent routing problems using deep attention mechanisms
Routing delivery vehicles to serve customers in dynamic and uncertain environments like
dense city centers is a challenging task that requires robustness and flexibility. Most existing …
dense city centers is a challenging task that requires robustness and flexibility. Most existing …