  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.
