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MAŠEK, J. VOŘECHOVSKÝ, M.
Original Title
On influence of interaction laws of dynamical particle system for sampling 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
6. 7. 2017
Publisher
De Gruyter
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{BUT137680, author="Jan {Mašek} and Miroslav {Vořechovský}", title="On influence of interaction laws of dynamical particle system for sampling 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" }