Algorithm Research & Explore
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2704-2712

Track planning method of unmanned aerial vehicles based on elite leading and adaptive salp swarm algorithm

Wang Ruofan
Ren Guofeng
Dept. of Electronics, Xinzhou Teachers University, Xinzhou Shanxi 034000, China

Abstract

Aiming at the problems of high cost, poor accuracy and insufficient stability of track planning of unmanned aerial vehicles(UAV) at present, this paper proposed an elite-leading adaptive salp swarm algorithm. This algorithm respectively introduced elite centroid opposition-learning and elite guided inertia weight mechanisms to improve the update method of the leader and the follower of salps, so as to improve global search ability and convergence speed of SSA. It designed an adaptive adjustment mechanism of individual role for population to balance the global search and local development of SSA. This paper established the two-dimensional track space model and the track cost model of UAV, and transformed the track planning into a multi-dimensional function optimization problem. This paper used the proposed algorithm to solve the track planning problem of UAV. It evaluated the individual position fitness by the track target function that comprehensively considered threat cost and fuel cost, and iteratively solved the optimal track planning scheme. This paper carried out the simulation experiments in two threat scenarios with different complexity. The experimental results show that compared with artificial potential field(APF), SSA, artificial bee-colony algorithm(ABA) and improved SSA(ISSA), the proposed algorithm can reduce the optimal track average cost by 78.68%, 61.77%, 42.76% and 19.36% respectively, which verifies the algorithm effectiveness.

Foundation Support

山西省教育厅高等学校教改创新项目(J2021572)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0021
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2704-2712
Serial Number: 1001-3695(2023)09-022-2704-09

Publish History

[2023-04-04] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

王若凡, 任国凤. 求解无人机航迹规划问题的精英引领自适应樽海鞘群算法 [J]. 计算机应用研究, 2023, 40 (9): 2704-2712. (Wang Ruofan, Ren Guofeng. Track planning method of unmanned aerial vehicles based on elite leading and adaptive salp swarm algorithm [J]. Application Research of Computers, 2023, 40 (9): 2704-2712. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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