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MAŠEK, J. VOŘECHOVSKÝ, M.
Original Title
On the influence of the interaction laws of a dynamical particle system for sample optimization
Type
journal article - other
Language
English
Original Abstract
The presented paper investigates the effect of the formulation of the energy potential of a dynamical particle system used for the optimization of statistical point sampling. The dynamical particle system, originally developed as a physical analogy to the Audze-Eglajs (AE) optimization criterion and its periodical modification (PAE), effectively demonstrated that the originally proposed energy potential performs well only in poorly applicable scenarios featuring low-dimensional design domains filled with a rather high number of design points. A remedy is presented which involves a refined formulation of the energy potential, as well as its derivation. The reasoning behind this approach is also dealt with in detail.
Keywords
Particle dynamical system, statistical sampling optimization, periodic space, particle interaction laws, short- and long-range interactions, self-similar designs
Authors
MAŠEK, J.; VOŘECHOVSKÝ, M.
Released
1. 6. 2017
Publisher
VŠB – Technical University of Ostrava
Location
Ostrava
ISBN
1213-1962
Periodical
Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava
Year of study
17
Number
1
State
Czech Republic
Pages from
137
Pages to
146
Pages count
10
URL
http://www.degruyter.com/view/j/tvsb.2017.17.issue-1/tvsb-2017-0016/tvsb-2017-0016.xml?format=INT
BibTex
@article{BUT138103, author="Jan {Mašek} and Miroslav {Vořechovský}", title="On the influence of the interaction laws of a dynamical particle system for sample optimization", journal="Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava", year="2017", volume="17", number="1", pages="137--146", doi="10.1515/tvsb-2017-0016", issn="1213-1962", url="http://www.degruyter.com/view/j/tvsb.2017.17.issue-1/tvsb-2017-0016/tvsb-2017-0016.xml?format=INT" }