计算机与数字工程2026，Vol.54Issue(1)：33-38,47,7.DOI:10.3969/j.issn.1672-9722.2026.01.007
基于量子遗传算法的多无人机突防路径规划算法
Multi-UAV Penetration Path Planning Algorithm Based on Quantum Genetic Algorithm
陈旭 1李丹1
作者信息
- 1. 南京航空航天大学计算机科学与技术学院 南京 210000
- 折叠
摘要
Abstract
Due to the special requirements of modern military,the UAVs are getting more and more attention from researchers all over the world.It has many advantages,such as zero life risk,stronger combat capability,and better adaptability to harsh com-bat environments than manually controlled aircraft.The wide application of UAV in the battlefield determines its important position in the war.With the rapid development of military science and technology,military UAV presents the characteristics of clustering,modularization and intelligence.However,in the complex battlefield environment,there is a conflict between the large amount of computational data and the limited computing power of the onboard computer.Therefore,a stable and efficient path planning algo-rithm is very important.In this paper,an improved quantum genetic algorithm is used for task assignment and path planning of UAV in the multi-UAV battlefield environment.Experimental results show that this method is feasible,rapid and reliable.关键词
多无人机调度/无人机突防/量子遗传算法Key words
multi-UAV scheduling/UAV penetration/quantum genetic algorithm分类
信息技术与安全科学引用本文复制引用
陈旭,李丹..基于量子遗传算法的多无人机突防路径规划算法[J].计算机与数字工程,2026,54(1):33-38,47,7.
