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...
Saved in:
Main Authors: | Anuar, Wadi Khalid, Lee, Lai Soon, Seow, Hsin-Vonn, Pickl, Stefan |
---|---|
Format: | Article |
Published: |
Multidisciplinary Digital Publishing Institute
2022
|
Online Access: | http://psasir.upm.edu.my/id/eprint/100189/ https://www.mdpi.com/2227-7390/10/15/2699 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
by: Anuar, Wadi Khalid, et al.
Published: (2021) -
Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
by: Anuar, Wadi Khalid, et al.
Published: (2022) -
Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics
by: Anuar, Wadi Khalid
Published: (2022) -
Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches
by: Anuar, Wadi Khalid, et al.
Published: (2021) -
Shared mobility problems: a systematic review on types, variants, characteristics, and solution approaches
by: Ting, Kien Hua, et al.
Published: (2021)