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Multi-Objective Particle Swarm Optimization on Computer Grids




Published: 2007
Herausgeber: D. Thierens et al.
Buchtitel: Proceedings of the 2007 Genetic and Evolutionary Computation Conference
Seiten: 869-874
Verlag: ACM
Referierte Veröffentlichung
BibTeX

Kurzfassung
In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of parallelizing multi-objective particle swarms. We propose and empirically compare two parallel versions which differ in the way they divide the swarm into subswarms that can be processed independently on different processors. One of the variants works asynchronously and is thus particularly suitable for heterogeneous computer clusters as occurring e.g. in modern grid computing platforms.

ISBN: 978-1-59593-697-4
VG Wort-Seiten: 26



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet
Grid Computing, Multikriterielle Optimierung, Naturanaloge Algorithmen, Evolutionäre Algorithmen, Parallele Algorithmen


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