A Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity: An MDP Model and Dynamic Policy for Post-Decision State Rollout Algorithm in Reinforcement Learning

In the event of a disaster, the road network is often compromised in terms of its capacity and usability conditions. This is a challenge for humanitarian operations in the context of delivering critical medical supplies. To optimise vehicle routing for such a problem, a Multi-Depot Dynamic Vehicle-R...

Full description

Saved in:

Bibliographic Details
Published in:	Mathematics (Basel) Vol. 10; no. 15; p. 2699
Main Authors:	Anuar, Wadi Khalid, Lee, Lai Soon, Seow, Hsin-Vonn, Pickl, Stefan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2022
Subjects:	Airports Algorithms approximate dynamic programming constructive base heuristic Dynamic programming Earthquakes Food science Heuristic Humanitarianism Insertion Logistics Machine learning Markov decision processes Markov processes Medical supplies reinforcement learning Roads & highways rollout algorithm Route planning Traffic congestion Transportation planning Transportation services Vehicle routing vehicle routing problem Vehicles Nepal
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!