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GECCO
2009
Springer

Why one must use reweighting in estimation of distribution algorithms

10 years 9 months ago
Why one must use reweighting in estimation of distribution algorithms
We study the update of the distribution in Estimation of Distribution Algorithms, and show that a simple modification leads to unbiased estimates of the optimum. The simple modification (based on a proper reweighting of estimates) leads to a strongly improved behavior in front of premature convergence. Categories and Subject Descriptors
Fabien Teytaud, Olivier Teytaud
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where GECCO
Authors Fabien Teytaud, Olivier Teytaud
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