Title
A novel sequential design strategy for global surrogate modeling A novel sequential design strategy for global surrogate modeling
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
conferenceObject
Publication
New York, N.Y. :IEEE, [*]
Subject
Mathematics
Source (book)
Proceedings of the Winter Simulation Conference, December 13-16, 2009, Austin, Texas
ISBN - Hoofdstuk
978-1-4244-5770-0
ISI
000289492500067
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
In mathematical/statistical modeling of complex systems, the locations of the data points are essential to the success of the algorithm. Sequential design methods are iterative algorithms that use data acquired from previous iterations to guide future sample selection. They are often used to improve an initial design such as a Latin hypercube or a simple grid, in order to focus on highly dynamic parts of the design space. In this paper, a comparison is made between different sequential design methods for global surrogate modeling on a real-world electronics problem. Existing exploitation and exploration-based methods are compared against a novel hybrid technique which incorporates both an exploitation criterion, using local linear approximations of the objective function, and an exploration criterion, using a Monte Carlo Voronoi tessellation. The test results indicate that a considerable improvement of the average model accuracy can be achieved by using this new approach.
E-info
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