2 days ago · PDF | The vehicle routing problem (VRP) and its variants have been intensively studied by the operational research community. The existing surveys and.
Jun 11, 2024 · Neural models produce promising results when solving Vehicle Routing Problems (VRPs), but often fall short in generalization. Recent attempts to enhance model ...
Jun 21, 2024 · Learning to solve vehicle routing problems (VRPs) has garnered much attention. However, most neural solvers are only structured and trained independently on a ...
Jun 26, 2024 · This paper introduces RouteFinder, a framework for developing foundation models for VRPs. Our key idea is that a foundation model for VRPs should be able to ...
7 days ago · Briefly, HVRP is to construct routes for heterogeneous vehicles to optimize an objective under a series of constraints. Various well-known problems, such as the ...
Jun 18, 2024 · While numerous heuristic approaches have been proposed to address its complexity, stemming from two NP-hard problems: the vehicle routing problem (VRP) and the ...
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Jun 13, 2024 · Although several surveys on Neural Combinatorial Optimization (NCO) solvers specifically designed to solve Vehicle Routing Problems (VRPs) have been conducted.
Jun 19, 2024 · In this paper, we survey and present recent learning‐for‐ optimisation literature on three specific COPs, that is, scheduling, bin packing, and routing ...
Jun 15, 2024 · In other words, it is the examination of the solution to the Vehicle Routing Problem (VRP), particularly the Capacitated VRP (CVRP), which is a more realistic ...
Jun 27, 2024 · PDPs are more challenging and practical than traditional routing problems because the correlation between pick-up nodes and delivery nodes in the former is ...