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Publikācija: Optimized Experimental Designs for Metamodeling: Algorithm

Publication Type Publications in RTU scientific journal
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Optimized Experimental Designs for Metamodeling: Algorithm
Field of research 2. Engineering and technology
Sub-field of research 2.3 Mechanical engineering
Authors Jānis Auziņš
Aleksandrs Januševskis
Jānis Januševskis
Keywords Experimental Design, Latin Hypercube Design, Design Optimization, Metamodeling, D-optimal Design
Abstract The paper is focused on direct optimization of experimental designs of continuous or discrete variables according to any optimality criterion. D-optimality criterion and space filling criteria such as Mean Square Error (MSE), Eglajs criterion, entropy criterion, discrepancy criterion and others can be used. Univariate relaxation and coordinate exchange algorithm with improved multistart is used for optimization. The proposed univariate relaxation and exchange algorithm with improved multistart method gives a good effectiveness for direct optimization of continuous and discrete experimental designs according to any optimization criterion. In cases of low dimensions the known D-optimal discrete and continuous designs were confirmed. For a larger number of variables many designs with better D-efficiency were found. The algorithm works very well also for Latin hypercube designs.
Reference Auziņš, J., Januševskis, A., Januševskis, J. Optimized Experimental Designs for Metamodeling: Algorithm. Mechanics. Vol.33, 2010, pp.25-29. ISSN 1407-8015.
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