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针对复杂场景下的有引领的人群疏散,提出一种融合文化算法与双层社会力的引领疏散模型.针对已有群组疏散模型中存在着抱团缓慢、疏散过程松散等问题,对社会力模型进行了改进,提出一种双层社会力模型,利用其聚集快且紧密的优点来模拟群组聚集.其次该模型以文化算法框架约束疏散过程,利用导航与知识库交互完成路径信息更新,并将路径信息传递给引领者,通过引领者引领群组完成疏散.仿真实验结果表明,该模型可以更加真实地模拟现实生活中有引导的疏散过程,使得整个疏散过程更为有序.并且在有障碍物存在的场景下,对群组疏散行为做了研究,通过文化算法与群组引领模拟的群组现象可以发现,群组行为在人群中可以大幅提高疏散效率,同时减小群体间受力,降低危险事件的发生,这对研究人群疏散中的群组行为具有指导意义.“,”Contrapose the guided crowd evacuation movement under complex scene,a guided crowd dynamics using two-layer social force model and cultural algorithm is proposed.The original guided crowd dynamics takes a long time for pedestrians to gather and the evacuation is disorganized.Therefore,the model based on grouping and guiding is come up with,which is based on social force model,using its advantages in gathering.At the same time,the model works under the framework of cultural algorithm,using the communication between knowledge base and navigation to realize the update of routes information,and then navigation transmit the information of routes to leaders;group members complete the evacuation under the leadership of leaders.According to the results of experiments,the model proposed in this paper can simulate real life in a more realistic manner.The evacuation process is more orderly,and it can be more realistic to reflect the process of group evacuation in real life.Furthermore,in the scene with obstacles,the evacuation is more efficient by using cultural algorithm and group navigations.The model achieves a more realistic and effective simulation results.