Some multiobjective optimizers are better than others

@inproceedings{Corne2003SomeMO,
  title={Some multiobjective optimizers are better than others},
  author={David W. Corne and Joshua D. Knowles},
  year={2003}
}
The No-Free-Lunch (NFL) theorems hold for general multiobjective fitness spaces, in the sense that, over a space of problems which is closed under permutation, any two algorithms will produce the same set of multiobjective samples. However, there are salient ways in which NFL does not generally hold in multiobjective optimization. Previously we have shown that a ‘free lunch’ can arise when comparative metrics (rather than absolute metrics) are used for performance measurement. Here we show that… CONTINUE READING

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