| 引用本文: | 潘亮,朱华勇,沈林成,等.引入优化算子的无人机遗传航路规划算法研究.[J].国防科技大学学报,2003,25(6):95-100.[点击复制] |
| PAN Liang,ZHU Huayong,SHEN Lincheng,et al.Using Local Optimization Operator in Genetic Algorithm for UAV Route Planning Problem[J].Journal of National University of Defense Technology,2003,25(6):95-100[点击复制] |
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| 引入优化算子的无人机遗传航路规划算法研究 |
| 潘亮, 朱华勇, 沈林成, 常文森 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 在大范围真实地形环境中规划出满足任务要求、导航、安全性等约束的较优航路，对提高无人机（UAV）的武器系统性能有重要意义。在基于直接航路编码的遗传算法中引入优化操作算子，将复杂约束合理地应用于遗传进化过程，可以较好地克服一般遗传操作的不足。采用均匀设计的试验方法确定较优的控制参数，并通过算例验证了算法的有效性。 |
| 关键词: 无人机 航路规划 遗传算法 优化算子 均匀设计 |
| DOI： |
| 投稿日期：2003-05-24 |
| 基金项目:国家973项目资助(2003-5130801-1-3) |
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| Using Local Optimization Operator in Genetic Algorithm for UAV Route Planning Problem |
| PAN Liang, ZHU Huayong, SHEN Lincheng, CHANG Wensen |
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(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| To get the optimal flight routes which satisfy constraints such as mission request, navigation and security in large scope and real terrain important to enhance the unmanned aerial vehicle (UAV)'s weapon system efficiency. An improved genetic algorithm which based on direct encoding method of individual and local optimization operator is represented to solve the route planning problem. By applying the complex constraints to the evolutionary process, the algorithm can overcome the drawbacks of canonical GA. The control parameters are selected by the uniform design of the experimental method, and the result of examples has proved that the algorithm is effective. |
| Keywords: UAV route planning genetic algorithm optimization operator uniform design |
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