Title
Grid enabled sequential design and adaptive metamodeling Grid enabled sequential design and adaptive metamodeling
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Computer. Automation
Source (journal)
Proceedings of the 2006 Winter Simulation Conference, Vols 1-5
Source (book)
2006 Winter Simulation Conference, DEC 03-06, 2006, Monterey, CA
Volume/pages
(2006) , p. 872-881
ISBN
978-1-4244-0500-8
ISI
000246261201055
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Metamodeling is emerging as a valuable new tool in simulation: complex computer codes can be approximated by surrogate models (analytic, neural network, SVM, etc.) which can easily be evaluated on-the-fly. Adaptive modeling and sequential design further improve the performance of metamodeling frameworks. Grid computing quickly replaces regular cluster computing when it comes to complex calculations. Several efforts use grid computing to facilitate the exploration of simulator outputs. This contribution combines adaptive modeling and sequential design with distributed, grid-based techniques into one metamodeling framework.
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