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  • Search: subject:"Gaussian Process modeling"
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Year of publication
Subject
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Evolutionary algorithms 2 Gaussian Process modeling 2 Multiple objective programming 2 Probable Pareto dominance 2 Surrogate models 2 Active learning 1 Business process management 1 Computer experiments 1 Contour line estimation 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Excursion set 1 Gaussian process modeling 1 Mathematical programming 1 Mathematische Optimierung 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Probability of failure 1 Prozessmanagement 1 Sequential design 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1
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Article 3
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Article in journal 1 Aufsatz in Zeitschrift 1
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Undetermined 2 English 1
Author
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Filipič, Bogdan 2 Mlakar, Miha 2 Petelin, Dejan 2 Chevalier, Clément 1 Ginsbourger, David 1 Picheny, Victor 1 Tus̆ar, Tea 1 Tušar, Tea 1
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Computational Statistics & Data Analysis 1 European Journal of Operational Research 1 European journal of operational research : EJOR 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models
Mlakar, Miha; Petelin, Dejan; Tušar, Tea; Filipič, Bogdan - In: European Journal of Operational Research 243 (2015) 2, pp. 347-361
This paper proposes a novel surrogate-model-based multiobjective evolutionary algorithm called Differential Evolution for Multiobjective Optimization based on Gaussian Process models (GP-DEMO). The algorithm is based on the newly defined relations for comparing solutions under uncertainty. These...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011209354
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GP-DEMO : differential evolution for multiobjective optimization based on Gaussian process models
Mlakar, Miha; Petelin, Dejan; Tus̆ar, Tea; Filipič, Bogdan - In: European journal of operational research : EJOR 243 (2015) 2, pp. 347-361
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010510121
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KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging
Chevalier, Clément; Picheny, Victor; Ginsbourger, David - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 1021-1034
Several strategies relying on kriging have recently been proposed for adaptively estimating contour lines and excursion sets of functions under severely limited evaluation budget. The recently released R package KrigInv33URL: http://cran.r-project.org/web/packages/KrigInv/index.html. is...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010871423
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