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
A stochastic adaptive genetic algorithm for solving unconst..:
, In:
2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
,
Carvalho, Egidio
;
Cortes, Omar Andres Carmona
;
Costa, Joao Pedro
. - p. 130-137 , 2016
Link:
https://doi.org/10.1109/EAIS.2016.7502503
RT T1
2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
: T1
A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems
UL https://suche.suub.uni-bremen.de/peid=ieee-7502503&Exemplar=1&LAN=DE A1 Carvalho, Egidio A1 Cortes, Omar Andres Carmona A1 Costa, Joao Pedro A1 Rau-Chaplin, Andrew YR 2016 K1 Sociology K1 Genetic algorithms K1 Genetics K1 Creep K1 Analysis of variance K1 Adaptive algorithms SP 130 OP 137 LK http://dx.doi.org/https://doi.org/10.1109/EAIS.2016.7502503 DO https://doi.org/10.1109/EAIS.2016.7502503 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)