不确定环境中的群体行为建模及仿真研究

提出一种模糊隶属度函数来对个体的不确定运动状况进行建模，进而提出不确定环境中的群体模型，这种基于模糊概念的建模方法不会无谓地牺牲个体的可运动空间，可尽量减少群体行为建模时对个体邻域内其他个体运动状况的约束强度，而不确定群体模型能保证在不确定环境中实现稳定收敛的群体行为，仿真结果表明，通过对个体的运动位置进行模糊处理，有利于在动态不确定环境中保持稳定的群体行为。

Research on modeling and simulation of swarm behavior in uncertain environment

This paper proposes a fuzzy membership function to describe the uncertain status of individuals in the swarm system.This method can make use of the working space of the individuals and lessen the restriction power of neighbor individual’s position and velocity information in its visual range.The simulation show that the swarm system maintains aggregating in the dynamic uncertain environment when we use the fuzzy membership function to model individuals’ uncertain information.