Enhancing constraint programming via supervised learning for job shop scheduling

Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin

Abstract: Highlights•We propose a novel variable ordering strategy based on supervised learning.•Our proposed method performs competitively when compared to existing methods.•Hybridizing learning-based methods with domain-based methods is beneficial.