基于双层编码的多策略麻雀搜索算法的复杂环境下无人机路径规划

IF 5.2 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Liangdong Qu , Jingkun Fan
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引用次数: 0

摘要

复杂环境下的无人机路径规划需要大量路径点来确定可行路径。为无人驾驶飞机建立有效的飞行路径需要许多路径点来考虑燃料限制、火炮威胁和雷达规避。路径点的增加提高了问题的维度,这反过来又降低了算法的性能。为了解决这一问题,采用双层编码(DLC)模型去除冗余路径点,从而降低了计算复杂度和操作难度。同时,提出了一种新的基于多策略的增强型麻雀搜索算法(MESSA)用于无人机路径规划。MESSA包含了一种新的动态适应度调节学习策略(DFRL)、随机差分学习策略(RDL)、精英样本均衡学习策略(EEEL)、基于精英样本的动态消除和再生策略(DERE)和二次插值(QI)。此外,将MESSA与11种最先进的算法进行了比较,证明了卓越的优化性能和鲁棒性。此外,将MESSA与DLC模型相结合(DLC-MESSA)用于解决无人机的路径规划问题。五个复杂环境的实验结果表明,在80%的情况下,DLC-MESSA算法的平均成本最低,优于其他算法,从而证明了其优越的鲁棒性和计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unmanned combat aerial vehicle path planning in complex environment using multi-strategy sparrow search algorithm with double-layer coding
Unmanned combat aerial vehicles (UCAV) path planning in complex environments demands a substantial number of path points to determine feasible paths. Establishing an effective flight path for UCAVs requires numerous path points to account for fuel constraints, artillery threats, and radar avoidance. This increase in path points raises the dimensionality of the problem, which in turn degrades algorithm performance. To mitigate this issue, a double-layer coding (DLC) model is utilized to remove redundant path points, consequently lowering computational complexity and operational difficulties. Meanwhile, this paper introduces a novel enhanced sparrow search algorithm (MESSA) based on multi-strategy for UCAV path planning. The MESSA incorporates a novel dynamic fitness regulation learning strategy (DFRL), a random differential learning strategy (RDL), an elite example equilibrium learning strategy (EEEL), a dynamic elimination and regeneration strategy based on the elite example (DERE), and quadratic interpolation (QI). Furthermore, MESSA is compared against 11 state-of-the-art algorithms, demonstrating exceptional optimization performance and robustness. Additionally, the combination of MESSA with the DLC model (DLC-MESSA) is applied to solve the UCAV path planning problem. The experimental results from five complex environments indicate that DLC-MESSA outperforms other algorithms in 80% of the cases by achieving the lowest average cost, thereby demonstrating its superior robustness and computational efficiency.
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来源期刊
CiteScore
10.50
自引率
8.70%
发文量
656
审稿时长
29 days
期刊介绍: In 2022 the Journal of King Saud University - Computer and Information Sciences will become an author paid open access journal. Authors who submit their manuscript after October 31st 2021 will be asked to pay an Article Processing Charge (APC) after acceptance of their paper to make their work immediately, permanently, and freely accessible to all. The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications.
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