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
The Piranha Foraging Optimization Algorithm Oriented to Num..:
, In:
2022 7th International Conference on Robotics and Automation Engineering (ICRAE)
,
Cao, Shuai
;
Qian, Qian
;
Cao, Yongjun
... - p. 388-395 , 2022
Link:
https://doi.org/10.1109/ICRAE56463.2022.10054616
RT T1 <cTitle>2022 7th International Conference on Robotics and Automation Engineering (ICRAE)</cTitle>: T1 <Title>The Piranha Foraging Optimization Algorithm Oriented to Numerical Optimization Problems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10054616&Exemplar=1&LAN=DE A1 Cao, Shuai A1 Qian, Qian A1 Cao, Yongjun A1 Li, Wenwei A1 Zhou, Lei A1 He, Hongan A1 Huang, Weixi A1 Liang, Jianan YR 2022 K1 Visualization K1 Statistical analysis K1 Heuristic algorithms K1 Sociology K1 Metaheuristics K1 Search problems K1 Classification algorithms K1 swarm intelligence algorithms K1 piranha foraging optimization algorithm K1 meta-heuristic algorithms SP 388 OP 395 LK http://dx.doi.org/https://doi.org/10.1109/ICRAE56463.2022.10054616 DO https://doi.org/10.1109/ICRAE56463.2022.10054616 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
