Research on material big data processing based on optimization algorithm

Abstract

Big data processing technology, as the main topic discussed by researchers in recent years, has been widely used in finance, astronomy, physics and other research fields. In 2011 Japan's fukushima nuclear plant after the explosion, research scholars have started to use SiC materials, as the next generation of nuclear fusion reactor cladding material, the work is after using the improved genetic algorithm, data processing for SiC materials key potential energy function is optimized, to improve material big data as to the accuracy of the calculation results. Based on the understanding of genetic algorithm, an adaptive genetic algorithm with algorithm crossover as the core is proposed in this paper, and the parallel idea is integrated into the new algorithm to complete the material big data processing work orderly. The experimental results show that this new genetic algorithm is feasible and effective.