针对基本粒子群优化算法对高维函数优化时搜索精度不高的缺陷，提出了一种动态粒子群优化算法。
To improve the search quality of the standard PSO algorithm for solving high-dimensional function, a dynamic particle swarm optimization algorithm is proposed.
针对普通粒子群优化算法难以在动态环境下有效逼近最优位置的问题，提出一种动态粒子群优化算法。
Aiming at the problem that normal Particle Swarm Optimization (PSO) algorithm can not approach the best position effectively in dynamic environment, this paper proposes a dynamic PSO algorithm.
为了满足需求的动态实时的足球机器人在比赛中，提出了一种新的算法，提出了基于路径规划的深入研究了粒子群优化算法。
In order to meet the dynamic and real-time demands in the match of soccer robot, a new algorithm for path planning was advanced based on deeply researching the PSO algorithm.
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