作者：
Ran HaoDelin LuoHaibin DuanSchool of Reliability and Systems Engineering
Beihang UniversityBeijing100191 China Department of AutomationXiamen UniversityXiamenChina Science and Technology on Aircraft Control LaboratorySchool of Automation Science and Electrical EngineeringBeihang UniversityBeijingChina
Unmanned aerial vehicles (UAVs) have shown their superiority for applications in performing military and civilian *** which,multiple UAVs mission assignment is becoming more important for today's military *** ...
详细信息
ISBN:
(纸本)9781479946983
Unmanned aerial vehicles (UAVs) have shown their superiority for applications in performing military and civilian *** which,multiple UAVs mission assignment is becoming more important for today's military *** far,there have been many bio-inspired computation algorithms for solving multiple UAVs mission assignment problems,including particle swarm optimization (PSO),differential evolution algorithm (DE) and so ***,deficiencies of these approaches exist inevitably,which cannot satisfy the requirements of dynamic mission *** this paper,a new UAV assignment model focusing on the energy consumption of UAV is brought up which can be easily applied to intelligence ***,we propose a new approach by applying the modified Pigeon-Inspired Optimization (pio) algorithm to sovle the multiple UAVs mission assignment *** simulation results show that the modified pio algorithm is more effective when compared with other state-of-the-art algorithms in addressing mission assignment problem for multiple UAVs.
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