HAL - INRIA :: [inria-00369780, version 1] Why one must use reweighting in Estimation Of Distribution Algorithms

inria-00369780, version 1

Why one must use reweighting in Estimation Of Distribution Algorithms

Fabien Teytaud ()^a^, 1, 2, Olivier Teytaud () ^3, 4, 5

GECCO (2009)

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.

a – INRIA
1: Institut National de la Recherche en Informatique et en Automatique (INRIA FUTURS)
INRIA
2: UFR Sciences - Université Paris-Sud XI
Université Paris XI - Paris Sud
3: TAO (INRIA Futurs)
INRIA – CNRS : UMR8623 – Université Paris XI - Paris Sud
4: Laboratoire de Recherche en Informatique (LRI)
CNRS : UMR8623 – Université Paris XI - Paris Sud
5: TAO (INRIA Saclay - Ile de France)
INRIA – CNRS : UMR8623 – Université Paris XI - Paris Sud

inria-00369780, version 1
http://hal.inria.fr/inria-00369780
oai:hal.inria.fr:inria-00369780
From: Olivier Teytaud <>
Submitted on: Saturday, 21 March 2009 08:51:33
Updated on: Saturday, 21 March 2009 08:55:58

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