UAV 3D Path Planning Based on Multi-Population Ensemble Differential Evolution
| Autor: | Hang Sun, Junming Xiao, Lu Yang, Liang Zhang, Boyang Qu, Li Yan, Xuzhao Chai, Chao Feng, Sumarga Kumar Sah Tyagi, Zhishuai Zheng |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science 02 engineering and technology Euler angles symbols.namesake 020901 industrial engineering & automation Single objective optimization problem Path length Control theory Multi population Differential evolution 0202 electrical engineering electronic engineering information engineering symbols Climb 020201 artificial intelligence & image processing Motion planning |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811534249 BIC-TA (1) |
| DOI: | 10.1007/978-981-15-3425-6_47 |
| Popis: | The three-dimensional (3D) environmental path planning of unmanned aerial vehicles (UAVs) is studied systemically. The model has been constructed, including 3D environment, threat, path length, yaw angle, climb angle and height. All the objective costs have been converted into a single objective optimization problem by the linear weight method. The multi-population ensemble differential evolution (MPEDE) algorithm has been applied to the 3D UAV path planning, and has shown the best performance compared with the self-adaptive differential evolution (SaDE) and differential evolution (DE) algorithms. The MPEDE algorithm is feasible in solve the UAV path planning problem. |
| Databáze: | OpenAIRE |
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