Abstract
The differential evolution entirely parallel method has been developed to enable the identification of unknown parameters of mathematical models by minimization of the deviation of the solution from experimental data. The method is implemented in a free open-source software that is downloadable from the Internet. The results of processing of test functions showed that the accuracy of the method is comparable to that of the three best algorithms from CEC-2014. The method has been successfully used in a number of real biological problems.
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