Title
Some convergence-based M-ary cardinal metrics for comparing performances of multi-objective optimizers
Abstract
There is still a big question to the community of multi-objective optimization: how to compare effectively the performances of multi-objective stochastic optimizers? The existing metrics suffer from different drawbacks to address this question. In this article, three convergence-based M-ary cardinal metrics are proposed, based on different forms of dominance relations between two solutions, for comparing performances of two optimizers from their multiple runs. The metrics are first tested on some benchmark instances whose performances are already known, and then their outcomes for some other instances are compared with those of three existing metrics.
Year
DOI
Venue
2012
10.1016/j.cor.2011.10.013
Computers & OR
Keywords
DocType
Volume
benchmark instance,multi-objective optimization,dominance relation,different drawback,multi-objective optimizers,multi-objective stochastic optimizers,big question,existing metrics,different form,convergence-based M-ary cardinal metrics,multiple run
Journal
39
Issue
ISSN
Citations 
7
0305-0548
9
PageRank 
References 
Authors
0.57
15
2
Name
Order
Citations
PageRank
Dilip Datta11069.36
José Rui Figueira285259.84