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Simple Explanation of the No-Free-Lunch Theorem and Its Implications
Authors:Ho  Y.C.  Pepyne  D.L.
Affiliation:(1) Division of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts;(2) Division of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
Abstract:The no-free-lunch theorem of optimization (NFLT) is an impossibility theorem telling us that a general-purpose, universal optimization strategy is impossible. The only way one strategy can outperform another is if it is specialized to the structure of the specific problem under consideration. Since optimization is a central human activity, an appreciation of the NFLT and its consequences is essential. In this paper, we present a framework for conceptualizing optimization that leads to a simple but rigorous explanation of the NFLT and its implications.
Keywords:No-free-lunch theorem  optimization  learning  decision making  search  strategy selection  impossibility theorem  representation and encoding  robustness  sensitivity  complexity
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