CGP-WPSO Hybrid Algorithm for Gene Regulatory Network Construction

It is of great significance for the global food security to rely on the gene regulatory network to predict the performance of crops. A hybrid algorithm based on Cartesian genetic programming and linear decreasing inertia weight particle swarm optimization is proposed. Furthermore, in order to verify the effectiveness of the algorithm, the algorithm is applied to the problem of model reconstruction of Arabidopsis flowering regulatory system. Finally, the simulation results show that the algorithm can be based on crop genotypes and environmental conditions, the reconstruction can accurately predict the gene regulatory network model crop type. And the proposed algorithm can be suitable for gene regulatory network.