The application of a genetic algorithm to estimate material properties for fire modeling from bench-scale fire test data

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Pyrolysis of Medium-Density Fiberboard: Optimized Search for Kinetics Scheme and Parameters via a Genetic Algorithm Driven by Kissinger’s Method (2014, methodology): “Therefore, GA can be coupled with a decomposition model to search for values of kinetic and stoichiometric parameters that gives the best fit between the model outputs and the experimental results [7,21,22].”
Generalized pyrolysis model for combustible solids (2007, methodology): “Since the simulations presented here require specification of several model input parameters that cannot be directly measured in the laboratory, genetic algorithm optimization [15, 16] is used to estimate the required model parameters from flammability test data and thermogravimetric analysis.”
Fire Dynamics Simulator (Version 5): User's Guide (2007, methodology): “Recently, Lautenberger, Rein and Fernandez-Pello [53] developed a method to automate the process of estimating material properties to input into FDS.”