Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design
Tarih
2016Yazar
Yang, D.
Sun, Y.
Di Stefano, D.
Turrin, M.
Sariyildiz, I.S.
Üst veri
Tüm öğe kaydını gösterÖzet
Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable 'surrogate models' (also known as 'Res
Bağlantı
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008254085&doi=10.1109%2fCEC.2016.7744323&partnerID=40&md5=cc13be1bc37e933c60c46d6744ad20c4https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10156
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