Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 2 (March 2024)
Open Access
A Shuffled Frog Leaping Algorithm with Q-Learning for Distributed Hybrid Flow Shop Scheduling Problem with Energy-Saving
Jingcao Cai
Jingcao Cai
and
Lei Wang
Lei Wang
| Mar 19, 2024
Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 2 (March 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Mar 19, 2024
Page range:
101 - 120
Received:
Dec 11, 2023
Accepted:
Feb 27, 2024
DOI:
https://doi.org/10.2478/jaiscr-2024-0006
Keywords
energy-saving
,
distributed scheduling
,
hybrid flow shop
,
shuffled frog-leaping algorithm
,
reinforcement learning
© 2024 Jingcao Cai et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Jingcao Cai
School of Mechanical Engineering, Anhui Polytechnic University,
China
AnHui Key Laboratory of Detection Technology and Energy Saving Devices, AnHui Polytechnic University
China
Lei Wang
School of Mechanical Engineering, Anhui Polytechnic University,
China