群体行为
粒子群优化
适应度函数
地形
计算机科学
趋同(经济学)
过程(计算)
控制理论(社会学)
数学优化
控制(管理)
遗传算法
数学
人工智能
算法
地理
经济
操作系统
地图学
经济增长
作者
Zain Anwar Ali,Zhangang Han
标识
DOI:10.1177/01423312211003807
摘要
This study proposes a novel hybrid strategy for formation control of a swarm of multiple unmanned aerial vehicles (UAVs). To enhance the fitness function of the formation, this research offers a three-dimensional formation control for a swarm using particle swarm optimization (PSO) with Cauchy mutant (CM) operators. We use CM operators to enhance the PSO algorithm by examining the varying fitness levels of the local and global optimal solutions for UAV formation control. We establish the terrain and the fixed-wing UAV model. Furthermore, it also models different control parameters of the UAV as well. The enhanced hybrid algorithm not only quickens the convergence rate but also improves the solution optimality. Lastly, we carry out the simulations for the multi-UAV swarm under terrain and radar threats and the simulation results prove that the hybrid method is effective and gives better fitness function.
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