An end-to-end decentralised scheduling framework based on deep reinforcement learning for dynamic distributed heterogeneous flowshop scheduling

Hybrid evolutionary optimisation with learning for production scheduling : state-of-the-art survey on algorithms and applications

Lin, Lin, (2018)

Flowshop scheduling with artificial neural networks

Gupta, Jatinder N., (2020)

Minimization of the total weighted tardiness on a single machine scheduling problem with a position based learning effect and unequal release dates

Muştu, Settar, (2021)