On the performance of meta-models in building design optimization

A. Prada, A. Gasparella and P. Baggio

Applied Energy, 2018, vol. 225, issue C, 814-826

Abstract: Although evolutionary algorithms coupled with building simulation codes are often applied in academic research, this approach has a limited use for actual applications of building design due to the high number of expensive simulation runs. The use of a surrogate model can overcome this issue.

Keywords: Multi-objective optimization; Surrogate model; Efficient global optimization; Building simulation; nZEB design (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (15)

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DOI: 10.1016/j.apenergy.2018.04.129

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