Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@Article{Yun_Liu:ieeeTEC,

• author = "Yun Liu and Fangfang Zhang and Yanan Sun and Mengjie Zhang",
• title = "Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling",
• journal = "IEEE Transactions on Evolutionary Computation",
• note = "Accepted for future publication",
• keywords = "genetic algorithms, genetic programming, Training, Dispatching, Heuristic algorithms, Dynamic scheduling, Job shop scheduling, Feature extraction, Dynamic flexible job shop scheduling, deep Q-network, evolutionary algorithm, dispatching rules",
• ISSN = "1089-778X",
• URL = "https://github.com/fangfang-zhang/fangfang-zhang.github.io/blob/main/files/2024-Evolutionary_Trainer-Based_Deep_Q-Network_for_DFJSS.pdf",
• URL = "https://ieeexplore.ieee.org/document/10439992",
• code_url = "https://github.com/liuyun0314/ETDQN",
• DOI = "10.1109/TEVC.2024.3367181",
• size = "15 pages",
• notes = "Also known as \cite{10439992}

  p10 'Comparison with GPRule1 and GPRule2 reveals that ETDQN still achieves the best results...'",

}

Genetic Programming entries for Yun Liu Fangfang Zhang Yanan Sun Mengjie Zhang

Citations