典型文献
Resilience optimization for multi-UAV formation reconfiguration via enhanced pigeon-inspired optimization
文献摘要：
This paper develops a novel optimization method oriented to the resilience of multiple Unmanned Aerial Vehicle(multi-UAV)formations to achieve rapid and accurate reconfiguration under random attacks.First,a resilience metric is applied to reflect the effect and rapidity of multi-UAV formation resisting random attacks.Second,an optimization model based on a param-eter optimization problem to maximize the system resilience is established.Third,an Adaptive Learning-based Pigeon-Inspired Optimization(ALPIO)algorithm is designed to optimize the resi-lience value.Finally,typical formation topologies with six UAVs are investigated as a case study to verify the proposed approach.The experimental results indicate that the proposed scheme can achieve resilience optimization for a multi-UAV formation reconfiguration by increasing the system resilience values to 97.53％and 81.4％after random attacks.
文献关键词：
中图分类号：
作者姓名：
Qiang FENG;Xingshuo HAI;Bo SUN;Yi REN;Zili WANG;Dezhen YANG;Yaolong HU;Ronggen FENG
作者机构：
School of Reliability and System Engineering,Beihang University,Beijing 100191,China
文献出处：
引用格式：
[1]Qiang FENG;Xingshuo HAI;Bo SUN;Yi REN;Zili WANG;Dezhen YANG;Yaolong HU;Ronggen FENG-.Resilience optimization for multi-UAV formation reconfiguration via enhanced pigeon-inspired optimization)[J].中国航空学报（英文版）,2022(01):110-123
A类：
ALPIO,lience
B类：
Resilience,optimization,reconfiguration,via,enhanced,pigeon,inspired,This,paper,develops,novel,method,oriented,resilience,multiple,Unmanned,Aerial,Vehicle,formations,achieve,accurate,under,random,attacks,First,metric,applied,reflect,effect,rapidity,resisting,Second,model,param,eter,problem,maximize,system,established,Third,Adaptive,Learning,Pigeon,Inspired,Optimization,algorithm,designed,optimize,Finally,typical,topologies,six,UAVs,are,investigated,case,study,verify,proposed,approach,experimental,results,indicate,that,scheme,can,by,increasing,values,after
AB值：
0.57075
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