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
Evolvability Search : Directly Selecting for Evolvabilit..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference 2016
,
Mengistu, Henok
;
Lehman, Joel
;
Clune, Jeff
- p. 141-148 , 2016
Link:
https://dl.acm.org/doi/10.1145/2908812.2908838
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference 2016</cTitle>: T1 <Title>Evolvability Search : Directly Selecting for Evolvability in order to Study and Produce It</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2908838&Exemplar=1&LAN=DE A1 Mengistu, Henok A1 Lehman, Joel A1 Clune, Jeff PB ACM YR 2016 K1 divergent search K1 evolutionary algorithms K1 evolvability K1 Computing methodologies K1 Artificial intelligence K1 Planning and scheduling K1 Robotic planning K1 Evolutionary robotics K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Generative and developmental approaches K1 Neural networks SP 141 OP 148 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2908812.2908838 DO https://dl.acm.org/doi/10.1145/2908812.2908838 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
