# Perhaps Not a Free Lunch But At Least a Free Appetizer

@inproceedings{Droste1999PerhapsNA, title={Perhaps Not a Free Lunch But At Least a Free Appetizer}, author={Stefan Droste and T. Jansen and Ingo Wegener}, booktitle={GECCO}, year={1999} }

It is often claimed that Evolutionary Algorithms are superior to other optimization techniques, in particular, in situations where not much is known about the objective function to be optimized. In contrast to that Wolpert and Macready (1997) proved that all optimization techniques have the same behavior — on aver age over all f : X → Y where X and Y are finite sets. This result is called No Free Lunch Theorem. Here different scenarios of optimization are presented. It is argued why the… Expand

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