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A randomized algorithm for continuous optimization

Published in 2016 Winter Simulation Conference (WSC) • Dec 1, 2016
Authors:
Ajin George Joseph
,
Shalabh Bhatnagar

Abstract

The cross entropy (CE) method is a model based search method to solve optimization problems where the objective function has minimal structure. The Monte-Carlo version of the CE method employs the naive sample averaging technique which is inefficient, both computationally and space wise. We provide ...

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