Analysis on the Influence of the Interaction Laws of a Dynamical Particle System for Sample Optimization
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Jan Masek,
Miroslav Vorechovsky
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| Transactions of the VSB - Technical University of Ostrava, Civil Engineering Series |
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2017, Volume 17, Issue 1, Pages 137-146
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Doi: 10.1515/tvsb-2017-0016
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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.
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