Article (Scientific journals)
Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution
Dorronsoro, Bernabé; Danoy, Grégoire; Nebro, Antonio J. et al.
2013In Computers and Operations Research, 40 (6), p. 1552-1563
Peer reviewed
 

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Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
Dorronsoro, Bernabé ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Danoy, Grégoire  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Nebro, Antonio J.;  University of Malaga
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution
Publication date :
2013
Journal title :
Computers and Operations Research
ISSN :
0305-0548
Volume :
40
Issue :
6
Pages :
1552-1563
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 14 May 2014

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