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VOŘECHOVSKÝ, M. MAŠEK, J. ELIÁŠ, J.
Originální název
Distance-based optimal sampling in a hypercube: Analogies to N-body systems
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
A method is proposed for the construction of uniformly distributed point sets within a design domain using an analogy to a dynamical system of interacting particles. The possibility of viewing various distance-based optimality criteria as formulas representing the potential energy of a system of charged particles is discussed. The potential energy is employed in deriving the equations of motion of the particles. The particles are either attracted or repelled and dissipative dynamical systems can be simulated to achieve optimal and near-optimal arrangements of points. The design domain is set up as an Nvar-dimensional unit hypercube, with Nvar being the number of variables (factors). The number of points is equal to the number of simulations (levels). The periodicity assumption of the design domain is shown to be an elegant way to obtain statistically uniform coverage of the design domain. The ϕp criterion, which is a generalization of the Maximin criterion, is selected in order to demonstrate its analogy with an N-body system. This criterion guarantees that the points are spread uniformly within the design domain. The solution to such an N-body system is presented. The obtained designs are shown to outperform the existing optimal designs in various types of applications: multidimensional numerical integration, statistical exploration of computer models, reliability analyses of engineering systems, and screenings or exploratory designs for the global optimization/minimization of functions.
Klíčová slova
criterion, Audze-Eglajs, Maximin criterion, MiniMax criterion, Periodic space, Space-filling design, Uniform design, Robust design, Low-discrepancy, Design of experiments, Latin hypercube sampling, Monte Carlo integration
Autoři
VOŘECHOVSKÝ, M.; MAŠEK, J.; ELIÁŠ, J.
Vydáno
10. 9. 2019
Nakladatel
Elsevier Science Ltd.
Místo
Oxford, UK
ISSN
0965-9978
Periodikum
ADVANCES IN ENGINEERING SOFTWARE
Ročník
137
Číslo
102709
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1
Strany do
16
Strany počet
URL
http://www.sciencedirect.com/science/article/pii/S0965997819301164
BibTex
@article{BUT159876, author="Miroslav {Vořechovský} and Jan {Mašek} and Jan {Eliáš}", title="Distance-based optimal sampling in a hypercube: Analogies to N-body systems", journal="ADVANCES IN ENGINEERING SOFTWARE", year="2019", volume="137", number="102709", pages="1--16", doi="10.1016/j.advengsoft.2019.102709", issn="0965-9978", url="http://www.sciencedirect.com/science/article/pii/S0965997819301164" }