Graph Pointer Network Based Hierarchical Curriculum Reinforcement Learning Method Solving Shuttle Tankers Scheduling Problem

Graph Pointer Network Based Hierarchical Curriculum Reinforcement Learning Method Solving Shuttle Tankers Scheduling Problem

Shuttle tankers scheduling is an important task in offshore oil and gas transportation process, which involves operating time window fulfillment, optimal transportation planning, and proper inventory management. However, conventional approaches like Mixed Integer Linear Programming (MILP) or meta he...

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Bibliographic Details
Main Authors: Xiaoyong Gao, Yixu Yang, Diao Peng, Shanghe Li, Chaodong Tan, Feifei Li, Tao Chen
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Complex System Modeling and Simulation
Subjects:
graph pointer network
hierarchical reinforcement learning
curriculum learning
shuttle tanker scheduling problem
Online Access:https://www.sciopen.com/article/10.23919/CSMS.2024.0017
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