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Hybrid RRT/DE algorithm for high performance UCAV path planning

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Path planning is an optimization problem that is crucial for robot or UCAV. Among the optimization approaches, we focus in this paper on a new hybrid modified Rapidly Exploring Random Tree algorithm (RRTs) and Differential Evolution (DE), for solving the optimization path planning problem to generate a fast and optimal 3D collision-free path under complex environment. We demonstrate the proposed algorithm performance through comparative analysis with Improved Bat algorithm (IBA). The results demonstrated the robustness and effectiveness of the proposed algorithm for generating an optimal free collision path in a short time, which is suitable for the UCAV applications.

源语言英语
主期刊名Proceedings of the 2017 6th International Conference on Network, Communication and Computing, ICNCC 2017
出版商Association for Computing Machinery
235-242
页数8
ISBN(电子版)9781450353663
DOI
出版状态已出版 - 8 12月 2017
活动6th International Conference on Network, Communication and Computing, ICNCC 2017 - Kunming, 中国
期限: 8 12月 201710 12月 2017

出版系列

姓名ACM International Conference Proceeding Series

会议

会议6th International Conference on Network, Communication and Computing, ICNCC 2017
国家/地区中国
Kunming
时期8/12/1710/12/17

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