A Deep Reinforcement Learning Framework Assisted by Genetic Programming for Dynamic Flexible Job Shop Scheduling

Created by W.Langdon from gp-bibliography.bib Revision:1.8721

@Article{Zhao:2026:ieeeTEC,

• author = "Fuqing Zhao and Cheng Zhao and Ling Wang and Hongyan Sang",
• title = "A Deep Reinforcement Learning Framework Assisted by Genetic Programming for Dynamic Flexible Job Shop Scheduling",
• journal = "IEEE Transactions on Evolutionary Computation",
• note = "Early Access",
• keywords = "genetic algorithms, genetic programming, Job shop scheduling, Dynamic scheduling, Genetic programming, Routing, Aluminum, Sequential analysis, Production, Deep reinforcement learning, Trees (botanical), Semantics, Dynamic flexible job shop scheduling, Behavioral characteristics clustering, Deep reinforcement learning",
• ISSN = "1089-778X",
• DOI = "10.1109/TEVC.2025.3649289",
• notes = "also known as \cite{11317967}

  School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China",

}

Genetic Programming entries for Fuqing Zhao Cheng Zhao Ling Wang Hongyan Sang

Citations