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篇名 |
An Improved NSGA-II Algorithm for UAV Path Planning Problems
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並列篇名 | An Improved NSGA-II Algorithm for UAV Path Planning Problems |
作者 | Haoyu Wang、Li Tan、Jiaqi Shi、Xinyue Lv、Xiaofeng Lian |
英文摘要 | The path planning problem is an important research in the field of UAV application. In practical applications, the path planning problem is usually multi-objective. This paper proposes an improved NSGA-II algorithm to achieve multi-objective optimization path planning. The algorithm introduces an improved directional mutation strategy by adaptively adjusting the crossover probability and the mutation probability, and searches for the optimal path of the UAV under the premise of considering the path length, threat, and concealment. Simulation experiments show that, compared with the NSGA and NSGA-II algorithm, the improved NSGA-II algorithm can reduce the risk of falling into a local optimum, increase the convergence speed, and better realize path planning in an obstacle environment. |
起訖頁 | 583-592 |
關鍵詞 | Path planning、Multi-objective optimization problem (MOOP)、NSGA-II、Mutation strategy |
刊名 | 網際網路技術學刊 |
期數 | 202105 (22:3期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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