Login / Signup
A deep reinforcement learning approach for chemical production scheduling.
Christian D. Hubbs
Can Li
Nikolaos V. Sahinidis
Ignacio E. Grossmann
John M. Wassick
Published in:
Comput. Chem. Eng. (2020)
Keyphrases
</>
production scheduling
reinforcement learning
job shop
job shop scheduling problem
vehicle routing
single machine
process planning
machine learning
multi agent
manufacturing systems
similarity measure
expert systems
relational databases
image analysis
dynamic programming
combinatorial optimization problems