Design of Experiment Using Simulation of a Discrete Dynamical System
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 p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-12-01
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| Series: | Transactions of the VŠB: Technical University of Ostrava, Civil Engineering Series |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/tvsb.2016.16.issue-2/tvsb-2016-0023/tvsb-2016-0023.xml?format=INT |
| Summary: | 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. |
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| ISSN: | 1804-4824 |