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math.OC2026
Machine Learning for Scheduling: A Paradigm Shift from Solver-Centric to Data-Centric Approaches
Anbang Liu, Shaochong Lin, Jingchuan Chen +2
Scheduling problems are a fundamental class of combinatorial optimization problems that underpin operational efficiency in manufacturing, logistics, and service systems. While oper…
math.OC2025
Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
Anbang Liu, Zhi-Long Chen, Jinyang Jiang +1
In this paper, we develop a unified machine learning (ML) approach to predict high-quality solutions for single-machine scheduling problems with a non-decreasing min-sum objective…