基于Levy飞行的蜂拥控制算法在目标跟踪中的应用

摘要

Considering tracking a target in large scale by mobile agents, to accelerate the convergence speed and improve tracking consequence, a flocking control algorithm based on Levy flight is proposed. Taking advantage of Levy flight, search agents are added, which can detect and search the target, and the agents adjust their motion according to information of neighbors and target. Simulation results show that the algorithm based on Levy flight can search the target faster and track it better than the traditional flocking control algorithm. The control algorithm proposed can be applied to target tracking in large scale by mobile agents.%为解决较大区域内移动智能体对目标的跟踪问题，提高收敛速度，优化跟踪效果，提出基于Levy飞行的蜂拥控制算法。利用Levy飞行的特性，在移动智能体群体中加入搜索智能体，采用Levy飞行策略对目标进行搜索，智能体根据周围邻居和所能感知到的目标信息调整自身运动。仿真验证表明：与不具有搜索智能体的蜂拥控制算法相比，该模型搜索目标的速度更快，跟踪效果更好，适用于大区域内移动智能体的目标跟踪。