研究论文
EFJSP-IBDR: Energy-efficient flexible job shop scheduling under incentive-based demand response via graph reinforcement learning with dual attention mechanism
Mingzhou Liu, Zhangjie Rui, Xi Zhang, Maogen Ge, Lin Ling, Xiaoqiao Wang, Conghu Liu
Hefei University of Technology
来源Expert Systems with Applications
年份2025
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5
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2.53
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学术脉络
学科主题
工程Scheduling and Optimization Algorithms
Smart Grid Energy Management · Optimization and Search Problems
参考文献 68
An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search
被引 501Stéphane Dauzère‐Pérès, Jan Paulli · Annals of Operations Research · 1997
被引 918
Energy-efficient scheduling in manufacturing companies: A review and research framework
被引 468Christian Gahm, Florian Denz, Martin Dirr · European Journal of Operational Research · 2015
此处列出前 3 条
引用本文 5
A reverse incentive-based demand response strategy for shared energy storage in industrial microgrids: Optimization, scheduling, and investment analysis
被引 8Chao Zhai, Zhixiang Cao, Yi Wang · Energy · 2025
An evolutionary algorithm with neighborhood structure incorporating reinforcement learning for dual resource constrained flexible job shop scheduling problem with worker transportation fatigue
被引 6Guohui Zhang, Deyu Zhang, Zhixiao Li · Expert Systems with Applications · 2025
Hybrid reinforcement learning assisted memetic algorithm for energy-efficient dynamic flexible job shop scheduling with limited transportation resources under new job arrivals
被引 5Guohui Zhang, Z. Merrick Li, Chao Lu · Engineering Applications of Artificial Intelligence · 2026
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