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...

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Bibliographic Details
Main Authors: JOE, Waldy, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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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
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Institution: Singapore Management University
Language: English

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