Publication result detail

On the influence of the interaction laws of a dynamical particle system for sample optimization

MAŠEK, J.; VOŘECHOVSKÝ, M.

Original Title

On the influence of the interaction laws of a dynamical particle system for sample optimization

English Title

On the influence of the interaction laws of a dynamical particle system for sample optimization

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

English 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

Key words in English

Particle dynamical system, statistical sampling optimization, periodic space, particle interaction laws, short- and long-range interactions, self-similar designs

Authors

MAŠEK, J.; VOŘECHOVSKÝ, M.

RIV year

2018

Released

01.06.2017

Publisher

VŠB – Technical University of Ostrava

Location

Ostrava

ISBN

1213-1962

Periodical

Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava

Volume

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"
}