Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm
With the continuous development of UAV technology, the trend of using UAV in the military battlefield is increasingly obvious, but the autonomous air combat capability of UAV needs to be further improved. The air combat maneuvering decision is the key link to realize the UAV autonomous air combat, a...
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The Northwestern Polytechnical University
2020-12-01
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Series: | Xibei Gongye Daxue Xuebao |
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doaj-d6fa4a23d15946ff867e61dca0d325842021-05-03T01:24:27ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582609-71252020-12-013861330133810.1051/jnwpu/20203861330jnwpu2020386p1330Air Combat Maneuver Decision Based on Reinforcement Genetic AlgorithmWith the continuous development of UAV technology, the trend of using UAV in the military battlefield is increasingly obvious, but the autonomous air combat capability of UAV needs to be further improved. The air combat maneuvering decision is the key link to realize the UAV autonomous air combat, and the genetic algorithm has good robustness and global searching ability which is suitable for solving large-scale optimization problems. This paper uses an improved genetic algorithm to model UAV air combat maneuvering decisions. Based on engineering application requirements, a typical simulation test scenario is established. The simulation results show that the air combat maneuvering decision model based on reinforcement genetic algorithm in this paper can obtain the correct maneuvering decision sequence and gain a position advantage in combat.https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1330/jnwpu2020386p1330.htmlair combat maneuvering decisiongenetic algorithmreinforcement learningcontrol and decisionuavmodelsimulation test scenario |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
title |
Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm |
spellingShingle |
Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm Xibei Gongye Daxue Xuebao air combat maneuvering decision genetic algorithm reinforcement learning control and decision uav model simulation test scenario |
title_short |
Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm |
title_full |
Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm |
title_fullStr |
Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm |
title_full_unstemmed |
Air Combat Maneuver Decision Based on Reinforcement Genetic Algorithm |
title_sort |
air combat maneuver decision based on reinforcement genetic algorithm |
publisher |
The Northwestern Polytechnical University |
series |
Xibei Gongye Daxue Xuebao |
issn |
1000-2758 2609-7125 |
publishDate |
2020-12-01 |
description |
With the continuous development of UAV technology, the trend of using UAV in the military battlefield is increasingly obvious, but the autonomous air combat capability of UAV needs to be further improved. The air combat maneuvering decision is the key link to realize the UAV autonomous air combat, and the genetic algorithm has good robustness and global searching ability which is suitable for solving large-scale optimization problems. This paper uses an improved genetic algorithm to model UAV air combat maneuvering decisions. Based on engineering application requirements, a typical simulation test scenario is established. The simulation results show that the air combat maneuvering decision model based on reinforcement genetic algorithm in this paper can obtain the correct maneuvering decision sequence and gain a position advantage in combat. |
topic |
air combat maneuvering decision genetic algorithm reinforcement learning control and decision uav model simulation test scenario |
url |
https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1330/jnwpu2020386p1330.html |
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1721486000617684992 |