Poster (Scientific congresses, symposiums and conference proceedings)
𝑘-Pareto Optimality for Many-Objective Genetic Optimization
Ruppert, Jean; Aleksandrova, Marharyta; Engel, Thomas
2021GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
 

Files


Full Text
Gecco_paper.pdf
Publisher postprint (415.75 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Ruppert, Jean;  Mathematics and Computing S.à.r.l. Luxembourg city, Luxembourg
Aleksandrova, Marharyta ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Engel, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
𝑘-Pareto Optimality for Many-Objective Genetic Optimization
Publication date :
July 2021
Event name :
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Event date :
from 10-07-2021 to 14-07-2021
Audience :
International
Focus Area :
Computational Sciences
Available on ORBilu :
since 07 January 2022

Statistics


Number of views
125 (5 by Unilu)
Number of downloads
41 (1 by Unilu)

OpenCitations
 
0

Bibliography


Similar publications



Contact ORBilu