Maximum Fault Tolerant Tile Mining Algorithm Based on Parallel PSO

Abstract

The current maximum fault-tolerant tile mining has the following problems: 1) the mining speed is slow 2) the mining speed is greatly affected by the tolerance. To solve these problems, a maximum fault-tolerant tile-mining algorithm based on parallel PSO is proposed in this paper. PSO algorithm is used to find the maximum fault-tolerant tile quickly and accurately, and the Spark framework is combined to further improve the calculation speed. Compared with the maximum fault-tolerant tile mining algorithm of integer linear programming, experimental results are superior to traditional algorithms in speed and stability. Then the proposed algorithm was applied to wind power generation system, and the experiment outcome shows that the algorithm is accurate and eddective for the dateset of real system.