Author

Yulin Zhang

Institutions: Eco-procédés, optimisation et aide à la décision, Université de Picardie Jules Verne

Observed institutions: Eco-procédés, optimisation et aide à la décision, Université de Picardie Jules Verne

ORCID: 0009-0008-3019-245X

Observed ORCID: 0009-0008-3019-245X

OpenAlex ID: A5102705326

The application of heterogeneous graph neural network and deep reinforcement learning in hybrid flow shop scheduling problem

2023 · Yejian Zhao, Xiaochuan Luo, et al. · Computers & Industrial Engineering · 85

A deep reinforcement learning optimization algorithm based on heterogeneous graph neural network for hybrid flow shop scheduling problem with finite transportation resources

2025 · Yejian Zhao, Xiaochuan Luo, et al. · Engineering Applications of Artificial Intelligence · 6

An incremental method-based machine learning approach for max–min knapsack with multiple scenarios

2024 · Juntao Zhao, Mhand Hifi, et al. · Computers & Industrial Engineering · 5

TAAGNet: A graph-based multi-agent reinforcement learning framework for integrated production and AGV scheduling in dynamic hybrid flow shop with uncertain sequencing

2025 · Weixiang Xu, Xiaochuan Luo, et al. · Expert Systems with Applications · 4

Graph neural architecture for dynamic hybrid flowshop: Addressing stochastic events and uncertain processing sequences

2025 · Weixiang Xu, Xiaochuan Luo, et al. · Neurocomputing · 4

A Cooperative Machine Learning-Based Algorithm: The Case of Max-Min Knapsack Problem with Multiple Scenarios

2024 · Juntao Zhao, Mhand Hifi, et al. · Lecture notes in networks and systems

Works count: 6

Citation count: 104

H-index: 4

I10-index: 1