基于Q学习的可变贪婪算法最小化无等待流水车间调度问题中的总提前和延迟之和
A Q-learning-based variable greedy algorithm to minimize the sum of total earliness and tardiness in a no-wait flowshop scheduling problem
Computers and Operations Research · 2026
被引 1 · 同刊同年前 5%
ABS 3
- Levi Abreu 通讯
- Bruno Athayde Prata
- José M. Framiñán
生产调度运筹学机器学习工业工程