Reference : On dynamic multi-objective optimization - classification and performance measures
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10528
On dynamic multi-objective optimization - classification and performance measures
English
Tantar, Emilia mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Tantar, Alexandru-Adrian mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2011
On dynamic multi-objective optimization - classification and performance measures
2759-2766
Yes
International
978-1-4244-7834-7
IEEE Congress on Evolutionary Computation (CEC 2011)
5-8 June, 2011
New Orleans
LA
[en] dynamic multi-objective optimization ; classification ; online dynamic MNK-landscape
[en] In this work we focus on defining how dynamism can be modeled in the context of multi-objective optimization. Based on this, we construct a component oriented classification for dynamic multi-objective optimization problems. For each category we provide synthetic examples that depict in a more explicit way the defined model. We do this either by positioning existing synthetic benchmarks with respect to the proposed classification or through new problem formulations. In addition, an online dynamic MNK-landscape formulation is introduced together with a new comparative metric for the online dynamic multi-objective context.
http://hdl.handle.net/10993/10528
Proceedings of the IEEE Congress on Evolutionary Computation

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