Characterising harmful data sources when constructing multi-fidelity surrogate models
Abstract: Highlights•Models constructed from multiple sources often assume all sources are reliable.•Characterising harmful sources is an active and challenging area of research.•Algorithm selection problem methods are used for this characterisation.•New intuitive guidelines directly applicable to industrial problems are provided.
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