基于改进粒子系统模型的“竹”群分布形态仿真算法

Simulation Algorithm for "Bamboo" Distributional Pattern by Improved Particle System

基于粒子系统模型的基本思想,即个体行为受群体行为控制的模式作为所研究问题的切入点,提出了一种模拟"竹"群分布形态的仿真算法。对原有粒子系统模型的随机分布算法进行了改进,使随机分布的粒子在整体分布上打破了矩形的规则形状,并将改进后的算法应用于"竹"群分布形态的仿真中,从而可以较真实地模拟出"竹"群的不同分布形态,这为植物的仿真模拟提供了一种新的解决方案,并将粒子系统模型的应用范围扩展到了植物的群体生长方式之中。

Based on the basic idea of particle system that the individual behavior is controled by groups behavior,an improved simulation algorithm for ＂Bamboo＂ distributional pattern was presented. In this paper, the improved simulation algorithm makes the random distribution of particles to break the rules of rectangular shape. Then, the improved algorithm can simulate different ＂Bamboo＂ distributional pattern more really. This paper gave a new solution in plant simulation and made the particle system to be applied in the plant growth pattern.