Develops a learning-augmented polynomial-time algorithm for R||C_max that achieves (1+ε)-approximation under accurate predictions of heavy job assignments and falls back to 2-approximation otherwise.
All you need is an improving column: Enhancing column generation for parallel machine scheduling via transformers.arXiv preprint arXiv:2410.15601,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A DRO model integrated with generative AI for robust capacity planning in green manufacturing under demand and renewable uncertainty.
citing papers explorer
-
Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
Develops a learning-augmented polynomial-time algorithm for R||C_max that achieves (1+ε)-approximation under accurate predictions of heavy job assignments and falls back to 2-approximation otherwise.
-
Green Manufacturing Capacity Planning by Integrating Distributionally Robust Optimization and Generative AI
A DRO model integrated with generative AI for robust capacity planning in green manufacturing under demand and renewable uncertainty.