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Kriging Is Well-Suited to Parallelize Optimization

Adaptation, learning, and optimizationPublished 1 January 2010Open access
David Ginsbourger, Rodolphe Le Riche, Laurent Carraro
Citations393
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TL;DR

This work investigates a multi-points optimization criterion, the multipoints expected improvement (\(q-{\mathbb E}I\)), aimed at choosing several points at the same time, and proposes two classes of heuristic strategies meant to approximately optimize the Q-EI, and applies them to the classical Branin-Hoo test-case function.

Abstract

International audience

Keywords

Computer ScienceDecision Sciences