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Nov, 2022
通过监督学习增强约束编程以进行作业车间调度
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling
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Yuan Sun, Su Nguyen, Dhananjay Thiruvady, Xiaodong Li, Andreas T. Ernst...
TL;DR
本文提出了一种基于监督学习的变量排序策略,针对工厂车间问题进行求解,通过分类与回归模型预测问题实例的最优解,从而优化约束规划求解器的变量搜索顺序,并表明该方法表现优异,且与传统的基于领域的方法结合的混合策略效果更佳。
Abstract
constraint programming
(CP) is an effective technique for solving constraint satisfaction and optimization problems. CP solvers typically use a
variable ordering
strategy to select which variable to explore first
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