微粒群优化算法在群体动画行为控制中的应用

The Application of PSO Algorithm in the Behavior Control of Group Animation

为了提高群体动画行为规划的协调性和智能性,采用微粒群优化算法来实现群体动画的行为控制。首先对群体动画体系结构和群体控制行为策略做了简要说明,接着对微粒群算法进行详细阐述,最后进行实例仿真,实验证明,采用微粒群算法很好地实现了群体动画行为控制,且能避开障碍物,具有较强的智能性。

In order to improve the coordination and intelligence of group animation behavior planning, the particle swarmoptimization algorithm is adopted to achieve the group animation behavior control. This paper firstly makes a brief introduction of the system structure of group animation and group control strategy, then elaborates the particle swarm algorithm, andfinally carries out the simulation experiments. Experiments show that the particle swarm algorithm achieves good behaviorcontrol of group animation, avoiding the obstacles with strong intelligence.