Application Research Of Improved Particle Swarm Computing Intelligent Algorithm In Track And Field Training Target Optimization

Abstract

This paper studies the influence of the athlete's state and wind direction on the Javelin flight trajectory. The process of plane throwing is analyzed theoretically. An accurate javelin flight mathematical model is established. Using the modified particle swarm optimization method, the paper finds a way to make the Javelin longer distance. This algorithm makes it portable and adaptive. Then, the entropy weight method is used to evaluate the weight of each factor. The experiment shows that this method can reflect the actual Javelin flying condition well, and its prediction effect is in accord with the demand of engineering applications.