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| An Evolutionary Real-Time 3D Route Planner for Aircraft | |
| 引用本文： | 郑昌文,丁明跃,周成平. An Evolutionary Real-Time 3D Route Planner for Aircraft[J]. 系统工程与电子技术(英文版), 2003, 14(1) |
| 作者姓名： | 郑昌文 丁明跃 周成平 |
| 作者单位： | Zheng Changwen，Ding Mingyue & Zhou ChengpingInstitute of Pattern Recognition and Artificial Intelligence，State Education Commission Key Laboratory for Image Processing and Intelligent Control，Huazhong University of Science and Technology，Wuhan 430074，P. R. China |
| 摘 要： | Abstract: A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candi-dates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By usingproblem-specific chromosome structure and genetic operators, the routes are generated in real time, with different missionconstraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving an-gle and route distance constraint taken into account. |
An Evolutionary Real-Time 3D Route Planner for Aircraft |
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| Zheng Changwen,Ding Mingyue , Zhou ChengpingInstitute of Pattern Recognition and Artificial Intelligence,State Education Commission Key Laboratory for Image Processing and Intelligent Control,Huazhong University of Science and Technology,Wuhan ,P. R. China. An Evolutionary Real-Time 3D Route Planner for Aircraft[J]. Journal of Systems Engineering and Electronics, 2003, 14(1) | |
| Authors: | Zheng Changwen Ding Mingyue & Zhou ChengpingInstitute of Pattern Recognition Artificial Intelligence State Education Commission Key Laboratory for Image Processing Intelligent Control Huazhong University of Science Technology Wuhan P. R. China |
| Affiliation: | Institute of Pattern Recognition and Artificial Intelligence, State Education Commission Key Laboratory for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan 430074, P. R. China |
| Abstract: | A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time, with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account. |
| Keywords: | Evolutionary computation Route planning Route constraints Real time Aircraft. |
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