Fitting Sovova's mass transfer model using an evolutionary algorithm and differential evolution
by Dejan Hrncic, Marjan Mernik, Masa Knez Hrncic, Zeljko Knez
International Journal of Innovative Computing and Applications (IJICA), Vol. 2, No. 4, 2010

Abstract: In chemical engineering, reliable models are necessary to reduce the cost of process design. An evolutionary algorithm with resizable population was used to estimate coefficients of Sovova's mass transfer model and was compared with a global optimiser found in the literature and commonly used differential evolution algorithm. Comparison of the evolutionary algorithm to the global optimisation technique proved that the evolutionary algorithm is more robust, efficient, and significantly better than the global optimiser in regards to the deviation of the model from experimental data. It is also shown that the proposed evolutionary algorithm performed better than differential evolution algorithm.

Online publication date: Tue, 09-Nov-2010

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