Identification of Envelope Hygrothermal Properties Based on In-situ Sensor Measurements and Stochastic Inverse Methods
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Evins R. A review of computational optimisation methods applied to sustainable building design. Renew Sust Energ Rev 2013;22:230-245.
Chavent G. Nonlinear least squares for inverse problems: theoretical foundations and step-by-step guide for applications. New York: Springer; 2010.
Maillet D, Jarny Y, Petit D. Problèmes inverses en diffusion thermique. In : Techniques de l’ingénieur. 2010.
Gosselin L, Tye-Gingras M, Mathieu-Potvin F. Review of utilization of genetic algorithms in heat transfer problems. Int J Heat Mass Tran 2009;52:2169-2188.
Rouchier S, Woloszyn M, Kedowide Y, Bejat T. Identification of the hygrothemal properties of a building envelope material by the covariance matrix adaptation evolution strategy. J Build Perform Sim; DOI: 10.1080/19401493.2014.996608.
Hansen N, Ostermeier A. Completely derandomized self-adaptation in evolution stretegies. Evol Comput 2001;9:159-195.
Kaipio J.P, Fox C. The Bayesian framework for inverse problems in heat transfer. Heat Transfer Eng 2011;9:718-753.
Wang J, Zabars N. A Bayesian inference approach to the inverse heat conduction problem. Int J Heat Mass Tran 2004;47:3927-3941.
Beyer H-G, Schwefel H-P. Evolution strategies – a comprehensive introduction. Natural Computing 2002;1:3-52.
Fortin F-A, Rainville D, Gardner M-A-G, Parizeau M, Gagné C. DEAP: Evolutionary Algorithms Made Easy. J Mach Learn Res 2012;13:2171-2175.
Hastings WK. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 1970;57:97-109.