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 Multi-Objective Decomposition Optimization Method for Ref..:
, In:
Proceedings of the Companion Conference on Genetic and Evolutionary Computation
,
Pereira, Cristiane Salgado
;
Dias, Douglas Mota
;
Martí, Luis
. - p. 1972-1980 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583133.3596313
RT T1 <cTitle>Proceedings of the Companion Conference on Genetic and Evolutionary Computation</cTitle>: T1 <Title>A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3596313&Exemplar=1&LAN=DE A1 Pereira, Cristiane Salgado A1 Dias, Douglas Mota A1 Martí, Luis A1 Vellasco, Marley PB ACM YR 2023 K1 evolutionary multi-objective optimization K1 decomposition K1 quantum-inspired algorithm K1 genetic programming K1 refinery scheduling K1 Computing methodologies K1 Artificial intelligence K1 Planning and scheduling K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic programming SP 1972 OP 1980 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583133.3596313 DO https://dl.acm.org/doi/10.1145/3583133.3596313 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
