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Identification of relations in genes for a particular biological condition is a relevant problem in the area
of bioinformatics. These relations can be represented as a network of genes. This paper presents a novel
hybrid-optimization algorithm, called Clono-Hybrid algorithm, for the reconstruction of gene regulatory
network. The proposed approach combines the effect of a global method called clonal selection based
algorithm and a local search algorithm called BFGS quasi newton method. The famous S-system model
parameters are optimized using the Clono-hybrid algorithm and constructing the gene regulatory
network from microarray data set. The proposed approach tested on the five-dimensional artificial
microarray data set and a real world SOS DNA repair system. The tested results are compared with the
existing approaches. The proposed approach found to be superior in computational efficiency and
accuracy.
Keyword: Clonal selection based search, Optimization technique, Gene regulatory network, DNA microarray, S-system model.