On dynamic multi- objective optimization - classification and performance measures (bibtex)
@inproceedings{Tantar:6534,
	Abstract = {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.},
	Author = {Tantar, Emilia and Tantar, Alexandru-Adrian and Bouvry, Pascal},
	Booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation},
	Date-Added = {2012-02-06 22:26:57 +0100},
	Date-Modified = {2012-02-06 22:26:57 +0100},
	Isbn = {978-1-4244-7834-7},
	Language = {English},
	Pages = {2759-2766},
	Title = {On dynamic multi- objective optimization - classification and performance measures},
	Year = {2011}}
Powered by bibtexbrowser