Parallel Algorithm for Power Big Data Analysis and Processing

摘要

The power big data analysis and processing apparatus using a parallel algorithm receives a plurality of input subpopulations by dividing population data, respectively, and solves a predetermined problem for the assigned input subpopulation. It is configured to obtain an output subpopulation including offspring data by performing a parallel algorithm operation based on the fitness value for, and to repeatedly perform a parallel algorithm operation multiple times using the output subpopulation as the input subpopulation. A plurality of map modules; A reduce configured to receive the output subpopulation from each of the plurality of map modules after the iterative execution of the parallel algorithm operation is finished, and to generate output data based on a fitness value from the received output subpopulation. module; And an output module configured to output the output data.