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EVOW
2009
Springer

On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies

10 years 4 months ago
On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies
Motivated by parallel optimization, we experiment EDA-like adaptation-rules in the case of λ large. The rule we use, essentially based on estimation of multivariate normal algorithm, is (i) compliant with all families of distributions for which a density estimation algorithm exists (ii) simple (iii) parameter-free (iv) better than current rules in this framework of λ large. The speed-up as a function of λ is consistent with theoretical bounds.
Fabien Teytaud, Olivier Teytaud
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where EVOW
Authors Fabien Teytaud, Olivier Teytaud
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