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Conference Papers Year : 2009

Why one must use reweighting in Estimation Of Distribution Algorithms

Abstract

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.
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Dates and versions

inria-00369780 , version 1 (21-03-2009)

Identifiers

  • HAL Id : inria-00369780 , version 1

Cite

Fabien Teytaud, Olivier Teytaud. Why one must use reweighting in Estimation Of Distribution Algorithms. GECCO, 2009, Montréal, Canada. ⟨inria-00369780⟩
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