A Grey Wolf optimizer-Based Topology Shaping Method for UAV Swarm

Yanxiang Yang, Xiangyin Zhang, Bo Li, Kaiyu Qin
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Abstract

Topology shaping is crucial for UAV swarms applications. The optimization of topology shaping generally involves two aspects, i.e. the determination of optimal mapping relationship from the initial topology to the target topology and the optimization of topology shaping position, which are both directly related to the global energy consumption of the UAV swarm. Therefore, joint optimization of the mapping relationship and the topology shaping position is necessary to be performed in the topology shaping process of the UAV swarm. In this paper, a joint optimization model of topology shaping is proposed and the Grey Wolf optimizer algorithm is employed to solve the model. Simulation results show that the proposed method can achieve topology shaping and exhibits better convergence of the algorithm while maintaining the same minimum global energy consumption.
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一种基于灰狼优化器的无人机群拓扑整形方法
拓扑整形是无人机群应用的关键。拓扑整形优化一般涉及初始拓扑到目标拓扑的最优映射关系的确定和拓扑整形位置的优化两个方面,这两个方面都直接关系到无人机群的全局能耗。因此,在无人机群拓扑整形过程中,需要对映射关系和拓扑整形位置进行联合优化。本文提出了一种拓扑整形的联合优化模型,并采用灰狼优化算法对该模型进行求解。仿真结果表明,该方法在保持全局最小能耗不变的情况下,能够实现拓扑整形,具有较好的收敛性。
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