Searching for Minimax Designs of Experiments: A Parallel Evolutionary Approach
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00205080" target="_blank" >RIV/68407700:21110/13:00205080 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.ctresources.info/ccp/paper.html?id=7297" target="_blank" >http://www.ctresources.info/ccp/paper.html?id=7297</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4203/ccp.101.18" target="_blank" >10.4203/ccp.101.18</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Searching for Minimax Designs of Experiments: A Parallel Evolutionary Approach
Popis výsledku v původním jazyce
Space-Filling Design Strategies known as Design of (Computer) Experiments (DoE) create an essential part of a surrogate modeling. Two main objectives are usually placed on the resulting designs - orthogonality and space-filling properties. The last decade has witnessed the development of several methods for the latter objective. One of the metrics, called minimax (mM) represents very interesting research area. Authors think that this metric seems as the most suitable one for practical purposes; howeverits computation for higher dimensions is intractable. Hence our contribution presents a new method on this subject. The core is the usage of the Evolution Strategy algorithm to estimate potential centers of the largest empty spheres. The minimax is thenthe radius of the biggest empty sphere. Therefore the proposed procedure is inexact, however has no memory problem and as is shown in the text, is suitable for parallelization. The serial and parallel versions of the proposed approach are
Název v anglickém jazyce
Searching for Minimax Designs of Experiments: A Parallel Evolutionary Approach
Popis výsledku anglicky
Space-Filling Design Strategies known as Design of (Computer) Experiments (DoE) create an essential part of a surrogate modeling. Two main objectives are usually placed on the resulting designs - orthogonality and space-filling properties. The last decade has witnessed the development of several methods for the latter objective. One of the metrics, called minimax (mM) represents very interesting research area. Authors think that this metric seems as the most suitable one for practical purposes; howeverits computation for higher dimensions is intractable. Hence our contribution presents a new method on this subject. The core is the usage of the Evolution Strategy algorithm to estimate potential centers of the largest empty spheres. The minimax is thenthe radius of the biggest empty sphere. Therefore the proposed procedure is inexact, however has no memory problem and as is shown in the text, is suitable for parallelization. The serial and parallel versions of the proposed approach are
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JD - Využití počítačů, robotika a její aplikace
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GAP105%2F12%2F1146" target="_blank" >GAP105/12/1146: Metody paralelizace inženýrských úloh využívající cenově dostupné technologie</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
ISBN
978-1-905088-56-0
ISSN
1759-3433
e-ISSN
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Počet stran výsledku
11
Strana od-do
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Název nakladatele
Civil-Comp Press Ltd
Místo vydání
Stirling
Místo konání akce
Pécs
Datum konání akce
25. 3. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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