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Design of Experiment Using Simulation of a Discrete Dynamical System

Design of Experiment Using Simulation of a Discrete Dynamical System Abstract The topic of the presented paper is a promising approach to achieve optimal Design of Experiment (DoE), i.e. spreading of points within a design domain, using a simulation of a discrete dynamical system of interacting particles within an n-dimensional design space. The system of mutually repelling particles represents a physical analogy of the Audze-Eglājs (AE) optimization criterion and its periodical modification (PAE), respectively. The paper compares the performance of two approaches to implementation: a single-thread process using the JAVA language environment and a massively parallel solution employing the nVidia CUDA platform. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series. de Gruyter

Design of Experiment Using Simulation of a Discrete Dynamical System

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Publisher
de Gruyter
Copyright
Copyright © 2016 by the
ISSN
1804-4824
eISSN
1804-4824
DOI
10.1515/tvsb-2016-0023
Publisher site
See Article on Publisher Site

Abstract

Abstract The topic of the presented paper is a promising approach to achieve optimal Design of Experiment (DoE), i.e. spreading of points within a design domain, using a simulation of a discrete dynamical system of interacting particles within an n-dimensional design space. The system of mutually repelling particles represents a physical analogy of the Audze-Eglājs (AE) optimization criterion and its periodical modification (PAE), respectively. The paper compares the performance of two approaches to implementation: a single-thread process using the JAVA language environment and a massively parallel solution employing the nVidia CUDA platform.

Journal

Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series. – de Gruyter

Published: Dec 1, 2016

References

  • METROPOLIS The Monte Carlo method of the
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  • Number Theoretic in New York
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  • Improved formulation of Audze - Eglājs criterion for spacefilling designs th International Conference on Applications of Statistics and Probability in Civil
    VOŘECHOVSKÝ