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 adaptive biased random-key genetic algorithm for the tac..:
, In:
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
,
Chaves, Antonio
;
Goncalves, José Fernando
;
Oliveira, Rudinei M
. - p. 378-385 , 2024
Link:
https://dl.acm.org/doi/10.1145/3605098.3635993
RT T1
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
: T1
An adaptive biased random-key genetic algorithm for the tactical berth allocation problem
UL https://suche.suub.uni-bremen.de/peid=acm-3635993&Exemplar=1&LAN=DE A1 Chaves, Antonio A1 Goncalves, José Fernando A1 Oliveira, Rudinei M A1 Lorena, Luiz A PB ACM YR 2024 K1 metaheuristics K1 genetic algorithms K1 parameter control K1 berth allocation K1 Applied computing K1 Operations research SP 378 OP 385 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3635993 DO https://dl.acm.org/doi/10.1145/3605098.3635993 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)