Deep reinforcement learning approach to solve dynamic vehicle routing problem with stochastic customers

Deep reinforcement learning approach to solve dynamic vehicle routing problem with stochastic customers

In real-world urban logistics operations, changes to the routes and tasks occur in response to dynamic events. To ensure customers’ demands are met, planners need to make these changes quickly (sometimes instantaneously). This paper proposes the formulation of a dynamic vehicle routing problem with...

Full description

Saved in:
Bibliographic Details
Main Authors: JOE, Waldy, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Vehicle routing
Automatic vehicle
Reinforcement learning
Numerical Analysis and Scientific Computing
Operations Research, Systems Engineering and Industrial Engineering
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/5568
https://ink.library.smu.edu.sg/context/sis_research/article/6571/viewcontent/Deep_Reinforcement_Learning_Approach_to_Solve.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/5568
https://ink.library.smu.edu.sg/context/sis_research/article/6571/viewcontent/Deep_Reinforcement_Learning_Approach_to_Solve.pdf

Similar Items