Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design

Article Details
Title:	Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design
Article URLs:	https://doi.org/10.1109/CEC.2016.7744323
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Authors:	Ding Yang	South China University of Technology, School of Architecture Delft University of Technology, Faculty of Architecture and the Built Environment
	Yimin Sun	South China University of Technology, School of Architecture South China University of Technology, State Key Laboratory of Subtropical Building Science
	Danilo Di Stefano	ESTECO
	Michela Turrin	Delft University of Technology, Faculty of Architecture and the Built Environment South China University of Technology, State Key Laboratory of Subtropical Building Science
	I. Sevil Sariyildiz	Delft University of Technology, Faculty of Architecture and the Built Environment Yaşar University, Faculty of Architecture
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DBLP Key:	conf/cec/YangSSTS16
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IEEE Congress on Evolutionary Computation, CEC 2016