Publication detail

On influence of interaction laws of dynamical particle system for sampling optimization

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

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"
}