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When does quasi-random work ?

Olivier Teytaud 1, 2
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : We experiment the efficiency of quasi-random mutations in evolution strategies in continuous domains from various points of views: (i) non-convexity (ii) convergence rate (iii) non-asymptotic behavior (iv) noise. We conclude that quasi-random mutations are great.
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https://hal.inria.fr/inria-00287863
Contributor : Olivier Teytaud <>
Submitted on : Friday, June 13, 2008 - 10:42:09 AM
Last modification on : Wednesday, September 16, 2020 - 5:05:41 PM
Long-term archiving on: : Friday, September 28, 2012 - 3:52:52 PM

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Olivier Teytaud. When does quasi-random work ?. Parallel Problem Solving from Nature, Sep 2008, Dortmund, Germany. ⟨inria-00287863⟩

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