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
Multi-Objective Optimization Algorithm in Big Data Environm..:
, In:
2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)
,
Jie, Zhao
- p. 968-975 , 2023
Link:
https://doi.org/10.1109/ICISCAE59047.2023.10392306
RT T1
2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)
: T1
Multi-Objective Optimization Algorithm in Big Data Environment
UL https://suche.suub.uni-bremen.de/peid=ieee-10392306&Exemplar=1&LAN=DE A1 Jie, Zhao YR 2023 SN 2770-663X K1 Software algorithms K1 Clustering algorithms K1 Big Data K1 Optical fiber communication K1 Hardware K1 System software K1 Sparks K1 computer K1 big data K1 algorithm K1 particle swarm SP 968 OP 975 LK http://dx.doi.org/https://doi.org/10.1109/ICISCAE59047.2023.10392306 DO https://doi.org/10.1109/ICISCAE59047.2023.10392306 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)