| 基于量子遗传算法的无人飞行器航迹规划 |
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| 引用本文： | 孙阳光,丁明跃,周成平,傅阳光,蔡超.基于量子遗传算法的无人飞行器航迹规划[J].宇航学报,2010,31(3). |
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| 作者姓名： | 孙阳光 丁明跃 周成平 傅阳光 蔡超 |
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| 作者单位： | 1. 华中科技大学图像识别与人工智能研究所,多谱信息处理技术国防科技重点实验室,武汉,430074
2. 华中科技大学图像识别与人工智能研究所,多谱信息处理技术国防科技重点实验室,武汉,430074;华中科技大学生命科学与技术学院,图像信息处理与智能控制教育部重点实验室,武汉,430074 |
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| 基金项目： | 国家自然科学基金，国家863项目，湖北省自然科学基金 |
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| 摘 要： | 基于量子计算和量子理论,提出了一种基于量子遗传算法的无人机航迹规划方法。该方法利用表征量子叠加态的量子比特对航迹进行编码,引入具有量子特性的量子交叉算子和量子门变异调整策略,对航迹规划中代价函数进行优化,引导并实现航迹的规划选择。仿真试验结果表明,该方法不仅具有良好的种群多样性,而且还可以有效地提高算法的空间搜索和收敛能力。
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| 关 键 词： | 量子计算 量子遗传算法 航迹规划 无人飞行器 |
Route Planning Based on Quantum Genetic Algorithm for UAVs |
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| SUN Yang-guang,DING Ming-yue,ZHOU Cheng-ping,FU Yang-guang,CAI Chao.Route Planning Based on Quantum Genetic Algorithm for UAVs[J].Journal of Astronautics,2010,31(3). |
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| Authors: | SUN Yang-guang DING Ming-yue ZHOU Cheng-ping FU Yang-guang CAI Chao |
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| Institution: | SUN Yang-guang1,DING Ming-yue1,2,ZHOU Cheng-ping1,FU Yang-guang1,CAI Chao1(1.Institute for Pattern Recognition , Artificial Intelligence,State Key Laboratory for Multi-spectral Information Processing Technologies,HUST,Wuhan 430074,China,2.College of Life Science , Technology,Image Processing , Intelligence Control Key Laboratory of Education Ministry of China,China) |
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| Abstract: | Based on the theory of quantum mechanics and quantum computing,a route planning method for Unmanned Aerial Vehicles(UAVs) based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition state to encode a route and introducing quantum genetic algorithm to optimize the cost function of route planning,the proposed method guides and realizes the optimization of route by introducing the genetic operators including the crossover operator and the quantum gate mutatio... |
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| Keywords: | Quantum computation Quantum genetic algorithm Route planning Unmanned aerial vehicles |
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