A genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters
作者： L. Balland , L. Estel , J.-M. Cosmao , N. Mouhab
DOI: 10.1016/S0169-7439(99)00057-X
关键词:
摘要: A hybrid estimation method is proposed to estimate simultaneously the kinetic and energetic parameters of chemical models. This combines a genetic algorithm with local convergence method, former generating initialisation points for latter. The applied real complex system: saponification ethyl acetate at concentration 1 mol l−1. reaction carried out in calorimetric reactor which determines experimental profiles power delivered or absorbed by mass. model, based on mass energy balances mass, including reaction, allows calculate profile. comparison between calculated gives criterion minimise. model are successfully determined. more efficiently rapidly solution problem than set several estimations method.
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