Design of Experiment Using Simulation of a Discrete Dynamical System
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Jan Masek,
Petr Frantik,
Miroslav Vorechovsky
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| Transactions of the VSB - Technical University of Ostrava, Civil Engineering Series |
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2016, Volume 16, Issue 2, Pages 125-134
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Doi: 10.1515/tvsb-2016-0023
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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 - Eglajs (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 nVidiaCUDA platform.
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