Author

Zuming Liu

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#machine learning Preprint Oct 2026

BOLT: Multi-Bottleneck Bound-Guided Learning for Flexible Job-Shop Scheduling with Time Lags and Resource-Coupled Transport

BOLT (bound-oriented learning for transport-coupled scheduling) builds a lower bound from chain, machine-capacity, and fleet-capacity relaxations that certifies a completed schedule's suboptimality gap without a solver.

Zi-Heng Zhang, Wei Zhang, Yun-Yi Zhao et al. · 0 citations

Preprint Aug 2026

PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop Scheduling

This work proposes PLAN (Parallel Liquid-inspired Approximation Network), a lightweight representation learning framework that reformulates continuous liquid-state dynamics into a discretized and parallelizable formulation and acts as a versatile, plug-and-play backbone that generalizes to complex FJSP variants.

D. D. Kannan, Wei Zhang, Jieyi Bi et al. · 0 citations