The problem of the estimation of thermal conductivities of multi-layer walls is studied using genetic algorithms and simulated annealing. Parameter estimation is shown for the cases of three- and five- layer walls, comparing the two stochastic approaches and also contrasting them with deterministic gradient-based methods. It is shown how stochastic methods permit better performances than classical ones when initial estimations of parameter values are not available or when the problem becomes complex.

Gori, P., Fabio, B. (2010). Thermophysical parameter estimation of multi-layer walls with stochastic optimization methods. INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY, 28(1), 109-116.

Thermophysical parameter estimation of multi-layer walls with stochastic optimization methods

GORI, Paola;
2010-01-01

Abstract

The problem of the estimation of thermal conductivities of multi-layer walls is studied using genetic algorithms and simulated annealing. Parameter estimation is shown for the cases of three- and five- layer walls, comparing the two stochastic approaches and also contrasting them with deterministic gradient-based methods. It is shown how stochastic methods permit better performances than classical ones when initial estimations of parameter values are not available or when the problem becomes complex.
Gori, P., Fabio, B. (2010). Thermophysical parameter estimation of multi-layer walls with stochastic optimization methods. INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY, 28(1), 109-116.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/139801
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