Výsledky vyhledávání - "Joachim van der Herten"

Hierarchical Gaussian Process Models for Improved Metamodeling

Autor: Vincent Dutordoir, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene, Nicolas Knudde

Publikováno v: ACM Transactions on Modeling and Computer Simulation. 30:1-17

Simulations are often used for the design of complex systems as they allow one to explore the design space without the need to build several prototypes. Over the years, the simulation accuracy, as well as the associated computational cost, has increa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6f2307cdf375b33c7513cc61f18b8d83
https://doi.org/10.1145/3384470

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Sequential sensitivity analysis of expensive black-box simulators with metamodelling

Autor: Tom Dhaene, Tom Van Steenkiste, Ivo Couckuyt, Joachim van der Herten

Publikováno v: APPLIED MATHEMATICAL MODELLING

Simulators are an essential tool in the design and analysis of complex systems. For many tasks in engineering, highly accurate simulators are used instead of expensive real-life experiments. As accuracy increases, these simulators are becoming comput

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59af7484db54a161924d4e7f11e01366
https://doi.org/10.1016/j.apm.2018.05.023

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Multi-objective Bayesian optimization for engineering simulation

Autor: Nicolas Knudde, Joachim van der Herten, Tom Dhaene, Ivo Couckuyt

Publikováno v: High-performance simulation-based optimization
High-Performance Simulation-Based Optimization ISBN: 9783030187637
High-Performance Simulation-Based Optimization

Rather than optimizing expensive objective functions such as complex engineering simulations directly, Bayesian optimization methodologies fit a surrogate model (typically Kriging or a Gaussian Process) on evaluations of the objective function(s). To

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93f73d83a1b7e2f6512f201f02d80c5c
https://biblio.ugent.be/publication/8694486

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A sequential sampling strategy for adaptive classification of computationally expensive data

Autor: Prashant Singh, Joachim van der Herten, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene

Publikováno v: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Many real-world problems in engineering can be represented and solved as a data-driven classification problem, where the goal is to build a classifier that maps a given set of input parameters onto a corresponding class or label. In some cases, the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4a6ce5d311d96f2ce04937f0a2b8b9
https://doi.org/10.1007/s00158-016-1584-1

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Adaptive classification under computational budget constraints using sequential data gathering

Autor: Tom Dhaene, Joachim van der Herten, Dirk Deschrijver, Ivo Couckuyt

Publikováno v: ADVANCES IN ENGINEERING SOFTWARE

The extension of the SUMO-Toolbox for classification is presented.State-of-the-art tool for modeling and optimization of budget-constrained problems.Includes the Neighborhood-Voronoi method for sequential sampling.Illustrative examples, including com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a78443cc23d827017cb544cfa39d611
https://doi.org/10.1016/j.advengsoft.2016.05.016

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Data-Efficient Sensitivity Analysis with Surrogate Modeling

Autor: Tom Van Steenkiste, Tom Dhaene, Ivo Couckuyt, Joachim van der Herten

Publikováno v: Uncertainty Modeling for Engineering Applications ISBN: 9783030048693

As performing many experiments and prototypes leads to a costly and long analysis process, scientists and engineers often rely on accurate simulators to reduce costs and improve efficiency. However, the computational demands of these simulators are a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::30f15e7a040c092bf01f8f0ce6c9466f
https://doi.org/10.1007/978-3-030-04870-9_4

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A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments

Autor: Ivo Couckuyt, Dirk Deschrijver, Joachim van der Herten, Tom Dhaene

Publikováno v: SIAM JOURNAL ON SCIENTIFIC COMPUTING

Complex real-world systems can accurately be modeled by simulations. Evaluating high-fidelity simulators can take several days, making them impractical for use in optimization, design space exploration, and analysis. Often, these simulators are appro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a7907593cf2cc6f42487f34d01f38d
https://doi.org/10.1137/140962437

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Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling

Autor: Tom Van Steenkiste, Joachim van der Herten, Tom Dhaene, Ivo Couckuyt

Publikováno v: 2016 WINTER SIMULATION CONFERENCE (WSC)

Simulations are becoming ever more common as a tool for designing complex products. Sensitivity analysis techniques can be applied to these simulations to gain insight, or to reduce the complexity of the problem at hand. However, these simulators are

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