Abstract
It was recently proven that sets of points maximizing the
hypervolume indicator do not give a good multiplicative approximation
of the Pareto front. We introduce a new “logarithmic
hypervolume indicator” and prove that it achieves a
close-to-optimal multiplicative approximation ratio. This is
experimentally verified on several benchmark functions by
comparing the approximation quality of the multi-objective
covariance matrix evolution strategy (MO-CMA-ES) with
the classic hypervolume indicator and the MO-CMA-ES
with the logarithmic hypervolume indicator.
hypervolume indicator do not give a good multiplicative approximation
of the Pareto front. We introduce a new “logarithmic
hypervolume indicator” and prove that it achieves a
close-to-optimal multiplicative approximation ratio. This is
experimentally verified on several benchmark functions by
comparing the approximation quality of the multi-objective
covariance matrix evolution strategy (MO-CMA-ES) with
the classic hypervolume indicator and the MO-CMA-ES
with the logarithmic hypervolume indicator.
Originalsprog | Engelsk |
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Titel | Proceedings of the 11th Workshop on Foundations of genetic algorithms : FOGA '11 |
Redaktører | Hans-Georg Beyer, W. B. Langdon |
Antal sider | 11 |
Forlag | Association for Computing Machinery |
Publikationsdato | 2011 |
Sider | 81-91 |
ISBN (Trykt) | 978-1-4503-0633-1 |
DOI | |
Status | Udgivet - 2011 |
Begivenhed | Foundations of genetic algorithms - Schwarzenberg, Østrig Varighed: 5 jan. 2011 → 9 jan. 2011 Konferencens nummer: XI |
Konference
Konference | Foundations of genetic algorithms |
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Nummer | XI |
Land/Område | Østrig |
By | Schwarzenberg |
Periode | 05/01/2011 → 09/01/2011 |