The impact of quality indicators on the rating of multi-objective evolutionary algorithms

M Ravber, M Mernik, M Črepinšek - Applied Soft Computing, 2017 - Elsevier
Evaluating and comparing multi-objective optimizers is an important issue. But, when doing
a comparison, it has to be noted that the results can be influenced highly by the selected …
被引用次数：50 相关文章

The impact of Quality Indicators on the rating of Multi-objective Evolutionary Algorithms

M Ravber, M Mernik, M Črepinšek - Applied Soft Computing, 2017 - infona.pl
Evaluating and comparing multi-objective optimizers is an important issue. But, when doing
a comparison, it has to be noted that the results can be influenced highly by the selected …

The impact of Quality Indicators on the rating of Multi-objective Evolutionary Algorithms

M Ravber, M Mernik, M repinek - Applied Soft Computing, 2017 - dl.acm.org
The figure displays confidence interval of Quality Indicators GD to R2 which both assess
convergence to the Pareto optimal front. We can see that they are in contradiction with each …
[PDF] researchgate.net

[PDF][PDF] The Impact of Quality Indicators on the Rating of Multi-objective Evolutionary Algorithms

M Ravbera, M Mernika, M Crepinšeka - researchgate.net
Evaluating and comparing multi-objective optimizers is an important issue. But, when doing
a comparison, it has to be noted that the results can be influenced highly by the selected …