Results 91 to 100 of about 10,217 (217)
Evolutionary model type selection for global surrogate modeling [PDF]
Due to the scale and computational complexity of currently used simulation codes, global surrogate (metamodels) models have become indispensable tools for exploring and understanding the design space.
De Turck, Filip +2 more
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The 38th issue of CSIMQ comprises four articles selected by guest issue editors on topics related to novel decision support methods or model-based frameworks for evolving or evaluating information systems.
Anders Flodström +2 more
doaj +1 more source
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping [PDF]
This paper proposes a novel method to select an experimental design for interpolation in random simulation.(Though the paper focuses on Kriging, this method may also apply to other types of metamodels such as linear regression models.)Assuming that ...
Beers, W.C.M. van, Kleijnen, J.P.C.
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Vehicles are now rapidly transitioning from a conventional torsion bar suspension to an in-arm suspension unit (ISU), reflecting the growing industrial demand for more compact, high-performance systems.
Di Sun, Moonsuk Chang, Jinho Kim
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Metamodel-based importance sampling for structural reliability analysis
Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions usually resort to running an expensive-to-evaluate computational model (e.g.
Deheeger, F., Dubourg, V., Sudret, B.
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An ISO/IEC/IEEE 42010:2022 Standard-Based Adaptation for Systems-of-Systems
The increasing adoption of system-of-systems (SoS) engineering has emerged as a crucial approach for designing architectures that manage complex, decentralized systems across various domains, including IoT-enabled infrastructure.
Aymen Abdelmoumen +3 more
doaj +1 more source
Metamodeling for Policy Simulations with Multivariate Outcomes. [PDF]
Zhong H +9 more
europepmc +1 more source
Model-based development promises to increase productivity and quality through domain-specific modeling languages. When a modeling language and its metamodel evolve, existing models must be migrated. An approach to model migration faces two main challenges. First, it must automate migration as far as possible to reduce migration effort.
openaire +2 more sources
Automating the metamodeling process [PDF]
Model abstraction using metamodeling has demonstrated the capability to facilitate software reuse, large scale model integration, verification, and validation. Once restricted to static representations that represented the input-output behavior of models, research has developed the capability to build dynamic metamodels.
openaire +1 more source
Metamodelling of a two-population spiking neural network. [PDF]
Skaar JW +4 more
europepmc +1 more source

