The GA-based approach to optimization of parallel calculations in large physics problems

Parallelization of computational algorithms in large physics problems for multiprocessor computer system containing thousand and more of processor elements requires special tools. In the present work, the approach based on using Genetic Algorithm is proposed. The experiment results and the influence of GA parameters on convergence of the method are given. The approach may be used for real-time parallelization.