z-logo
open-access-imgOpen Access
An Adaptive Reinforcement Learning-Based Scheduling Approach with Combination Rules for Mixed-Line Job Shop Production
Author(s) -
Haihua Zhu,
Yi Zhang,
Changchun Liu,
Wei Shi
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/1672166
Subject(s) - dynamic priority scheduling , two level scheduling , fair share scheduling , computer science , rate monotonic scheduling , reinforcement learning , flow shop scheduling , scheduling (production processes) , job shop , job shop scheduling , industrial engineering , distributed computing , mathematical optimization , artificial intelligence , engineering , schedule , mathematics , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom