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
Evaluating genetic algorithms with different population str..:
, In:
Proceedings of the 2008 ACM symposium on Applied computing
,
Toledo, Claudio Fabiano Motta
;
França, Paulo Morelato
;
Rosa, Kalianne Almeida
- p. 1777-1781 , 2008
Link:
https://dl.acm.org/doi/10.1145/1363686.1364114
RT T1
Proceedings of the 2008 ACM symposium on Applied computing
: T1
Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem
UL https://suche.suub.uni-bremen.de/peid=acm-1364114&Exemplar=1&LAN=DE A1 Toledo, Claudio Fabiano Motta A1 França, Paulo Morelato A1 Rosa, Kalianne Almeida PB ACM YR 2008 K1 genetic algorithms K1 lot sizing K1 multi-population K1 scheduling K1 soft drink company K1 Computing methodologies K1 Artificial intelligence K1 Search methodologies K1 Heuristic function construction SP 1777 OP 1781 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1363686.1364114 DO https://dl.acm.org/doi/10.1145/1363686.1364114 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)