I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An Online Reinforcement Learning Approach for Solving the D..:
, In:
2021 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Ali Said, Nour El-Din
;
Samaha, Yassin
;
Azab, Eman
.. - p. 134-139 , 2021
Link:
https://doi.org/10.1109/CSCI54926.2021.00095
RT T1
2021 International Conference on Computational Science and Computational Intelligence (CSCI)
: T1
An Online Reinforcement Learning Approach for Solving the Dynamic Flexible Job-Shop Scheduling Problem for Multiple Products and Constraints
UL https://suche.suub.uni-bremen.de/peid=ieee-9799136&Exemplar=1&LAN=DE A1 Ali Said, Nour El-Din A1 Samaha, Yassin A1 Azab, Eman A1 Shihata, Lamia A. A1 Mashaly, Maggie YR 2021 K1 Schedules K1 Job shop scheduling K1 Q-learning K1 Scientific computing K1 Processor scheduling K1 Heuristic algorithms K1 Dynamic scheduling K1 Artificial Intelligence K1 Job-Shop K1 Optimization K1 Production Scheduling K1 Reinforcement Learning SP 134 OP 139 LK http://dx.doi.org/https://doi.org/10.1109/CSCI54926.2021.00095 DO https://doi.org/10.1109/CSCI54926.2021.00095 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)