Reconstruction of the Gene Regulatory Network by Hybrid Algorithm of Clonal Selection and Trigonometric Differential Evolution

Abstract

One of the ways to solve the problem with identifying parameters of S-system, which is used as a model for the reconstruction of a gene regulatory network, is considered. A hybrid algorithm based on a combination of clonal selection methods and trigonometric differential evolution has been proposed. The experimental investigations of the individual parameters influence of the hybrid algorithm on a level of model errors of time series approximation of gene expression data have been carried out. The results of comparative tests with other computational methods are presented.