Modeling and Optimization of Multiple Unmanned Aerial Vehicles System Architecture Alternatives

被引：0
|
作者：
Qin, Dongliang [1 ]
Li, Zhifei [1 ]
Yang, Feng [1 ]
Wang, Weiping [1 ]
He, Lei [1 ]
机构：
[1] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China
来源：
SCIENTIFIC WORLD JOURNAL | 2014年
基金：
中国国家自然科学基金;
关键词：
GLOBAL OPTIMIZATION; ALGORITHMS;
D O I：
10.1155/2014/189679
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Unmanned aerial vehicle (UAV) systems have already been used in civilian activities, although very limitedly. Confronted different types of tasks, multi UAVs usually need to be coordinated. This can be extracted as a multi UAVs system architecture problem. Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented. Then the corresponding optimization problem and an efficient genetic algorithm with a refined crossover operator (GA-RX) is proposed to accomplish the architecting process iteratively in the rest of this paper. The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.
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页数：8
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