ScienceGate Book Chapters

JOURNAL ARTICLE

A multi-agent reinforcement learning with multi-task learning and graph edge attention networks for dynamic flexible job shop scheduling

Fuqing Zhao Jia Yu

Year: 2025 Journal: Applied Soft Computing Vol: 187 Pages: 114277-114277 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2025.114277

Get Full-Text PDF Get Analytical Report

Keywords:

Metrics

0

Cited By

0.00

FWCI (Field Weighted Citation Impact)

33

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Related Documents

JOURNAL ARTICLE

Dynamic flexible flow shop scheduling via cross-attention networks and multi-agent reinforcement learning

Jinlong Zheng Yixin Zhao Yinya Li Jianfeng Li Lu Wang Di Yuan

Journal: Journal of Manufacturing Systems Year: 2025 Vol: 80 Pages: 395-411

JOURNAL ARTICLE

Graph-Based Multi-Agent Reinforcement Learning for Dynamic Flexible Flow Shop Scheduling

Weisong Shi Rui Wang Chang Liu Zhenghao Yu Shengxiang Yang

Year: 2025 Pages: 453-458

BOOK-CHAPTER

Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem

Seung Heon Oh Young In Cho Jong Hun Woo

IFIP advances in information and communication technology Year: 2023 Pages: 506-519

JOURNAL ARTICLE

Dynamic flexible job-shop scheduling by multi-agent reinforcement learning with reward-shaping

Lixiang Zhang Yan Yan Chen Yang Yaoguang Hu

Journal: Advanced Engineering Informatics Year: 2024 Vol: 62 Pages: 102872-102872

JOURNAL ARTICLE

Multi-agent-based deep reinforcement learning for dynamic flexible job shop scheduling

Peter Burggräf Johannes Wagner Till Saßmannshausen Dennis Ohrndorf Karthik Subramani

Journal: Procedia CIRP Year: 2022 Vol: 112 Pages: 57-62