关键词: 遗传算法, 粒子群算法, 投影方向, 投影寻踪, 文本分类

Abstract: The previous studies are based on projection pursuit of genetic algorithm to find the optimal projection direction，but the genetic algorithm to the choice of the initial population has a certain dependence，the convergence rate is slow，and the solution obtained may not be optimal solution.Particle swarm algorithm which is a kind of swarm intelligent optimization algorithms，is put forward by foraging act of research and observation about groups of birds.This paper proposes the projection pursuit model using genetic-particle swarm optimization according to the advantages and disadvantages of genetic algorithms and particle swarm optimization.This method can effectively solve the optimization problem of the projection direction.The paper applies this method in the text classification，in the Reuters-21578 document sets KNN and the Naive Bayesian are used，experimental results show that this method can effectively extract the projection direction to obtain a satisfactory classification results，and improve algorithm convergence to the optimal solution capability.

Key words: genetic algorithm, Partical Swarm Optimization（PSO）, projection direction, projection pursuit, text classification