Differential evolution algorithm of solving an inverse problem for the spatial Solow mathematical model

Sergey Kabanikhin, Olga Krivorotko, Zholaman Bektemessov, Maktagali Bektemessov, Shuhua Zhang

Результат исследования: Научные публикации в периодических изданияхстатьярецензирование

Аннотация

The differential evolution algorithm is applied to solve the optimization problem to reconstruct the production function (inverse problem) for the spatial Solow mathematical model using additional measurements of the gross domestic product for the fixed points. Since the inverse problem is ill-posed the regularized differential evolution is applied. For getting the optimized solution of the inverse problem the differential evolution algorithm is paralleled to 32 kernels. Numerical results for different technological levels and errors in measured data are presented and discussed.

Язык оригиналаанглийский
Страницы (с-по)761-774
Число страниц14
ЖурналJournal of Inverse and Ill-Posed Problems
Том28
Номер выпуска5
Ранняя дата в режиме онлайн1 сен 2020
DOI
СостояниеОпубликовано - 1 окт 2020

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