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Updated: May 23, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons
Published on: November 9, 2018
No free lunch and benchmarks
Edgar A Duéñez-Guzmán1, Michael D Vose
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. duenez@oeb.harvard.edu
Abstract:
We extend previous results concerning black box search algorithms, presenting new theoretical tools related to no free lunch (NFL) where functions are restricted to some benchmark (that need not be permutation closed), algorithms are restricted to some collection (that need not be permutation closed) or limited to some number of steps, or the performance measure is given. Minimax distinctions are considered from a geometric perspective, and basic results on performance matching are also presented.
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