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Multi-UAV Mission Allocation under Constraint

School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
China Electronics Technology Group Corporation (CETC), Key Laboratory of Data Link Technology, Xi’an 710068, China
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(11), 2184;
Received: 22 April 2019 / Revised: 9 May 2019 / Accepted: 15 May 2019 / Published: 28 May 2019
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs))
PDF [1901 KB, uploaded 28 May 2019]


This paper is devoted to the unmanned aerial vehicle (UAV) mission allocation problem. To solve this problem in a more realistic battlefield environment, an improved mathematical model for UAV mission allocation is proposed. Being different from previous formulations, this model not only considers the difference in the importance of the target but also the constraints of the time window. In addition, an indicator of reconnaissance reward is added to this model. Each target area has a different importance, just as the strategic value of each region is different in combat. In this paper, we randomly generate the value factor for each reconnaissance area. To solve the mathematical model with different operational intentions, a dimensionality reduction process for which the reconnaissance reward is the optimization objective is presented. Finally, based on the improved model, the simulation result with Lingo is compared with that of non-dominated sorting genetic algorithm with elite strategy (NSGA-II) and genetic algorithm (GA) to verify the reliability and the effectiveness of the improved method. View Full-Text
Keywords: unmanned aerial vehicle (UAV); reconnaissance mission allocation; time window; Lingo; dimensionality reduction unmanned aerial vehicle (UAV); reconnaissance mission allocation; time window; Lingo; dimensionality reduction

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Xie, S.; Zhang, A.; Bi, W.; Tang, Y. Multi-UAV Mission Allocation under Constraint. Appl. Sci. 2019, 9, 2184.

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