Solving Flexible Job-Shop Scheduling Problem with Heterogeneous Graph Neural Network Based on Relation and Deep Reinforcement Learning

Driven by the rise of intelligent manufacturing and Industry 4.0, the manufacturing industry faces significant challenges in adapting to flexible and efficient production methods. This study presents an innovative approach to solving the Flexible Job-Shop Scheduling Problem (FJSP) by integrating Het...

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Bibliografske podrobnosti

Principais autores:	Hengliang Tang, Jinda Dong
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-08-01
Serija:	Machines
Teme:	deep reinforcement learning flexible job-shop scheduling problem heterogeneous graph neural network manufacturing job-shop scheduling
Online dostop:	https://www.mdpi.com/2075-1702/12/8/584
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