Абстрактный

A novel algorithm for analyzing influence factors of sports industrialization

Liu Qin, Qin Wei

The researches on improved types of particle swarm optimization (PSO) algorithm to solve all kinds of optimization problems in real life have become hot topics. The paper presents a new cloud particle swarm optimization algorithm and applies it to analyze influence factors of sports industrialization. First, in order to present targeted improvement measures, the working principle and the root cause of the defects of PSO algorithm is analyzed; Second, the improvements such as global optimization searching method and crossover operation of cloud particle are taken, and then a new cloud particle swarm optimization algorithm is presented. Finally, the improved algorithm is applied to analyze influence factors of sports industrialization and the experimental results show that the improved algorithm has better convergence rate, optimize performance and better accuracy.