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cs.LG2026
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
Jiaqi Wang, Zhiguang Cao, Peng Zhao +4
The rise of smart manufacturing under Industry 4.0 introduces mass customization and dynamic production, demanding more advanced and flexible scheduling techniques. The flexible jo…
cs.LG2023★ 1 cited
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance
Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang
Deep forest is a non-differentiable deep model which has achieved impressive empirical success across a wide variety of applications, especially on categorical/symbolic or mixed mo…
cs.LG2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
Yuan Jiang, Yaoxin Wu, Zhiguang Cao +1
Recent deep models for solving routing problems always assume a single distribution of nodes for training, which severely impairs their cross-distribution generalization ability. I…