High-dimensional Particle Swarm Optimization

Particle Swarm Optimization is a more mature group of intelligent algorithm in a class of algorithms. In recent years, it has been widespread concern and development.The main works of the dissertation can be summarized as follows:First, I analyzed particle swarm algorithm in recent years and each algorithm in the application of the strengths and weaknesses and put forward my views;Second, to Particle Swarm Optimization and Genetic Algorithm, I proposed that the operation of the introduction of Genetic Algorithms for solving high-dimensional particle swarm algorithm, established dimension of High-dimensional Pyramid Particle Swarm Algorithm;Third, particle swarm algorithm for high-dimensional data testing, and analysis of the data, The results show the effectiveness of the proposed method.