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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3344-3347,3360

Application of improved PSO algorithm in multi UAV cooperative task allocation

Jiang Shuo
Yuan Xiaoping
China University of Mining & Technology, Xuzhou Jiangsu 221116, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0303

Abstract

In order to solve the increasingly complex problem of multi-UAV collaborative task allocation, this paper used an improved hierarchical particle swarm optimization algorithm(HGIWPSO) to obtain the optimal allocation scheme. Firstly, according to particle fitness, it divided the population dynamics into three different classes, and selected the appropriate learning model according to the characteristics of different classes of particles, and introduced the independent weight idea to adjust the weight of the inertia weight that improved the performance of the algorithm. Then, it established the model of collaborative multi task assignment problem, and adopted the redundant load auction scheme to reduce illegal solutions. It established the mapping relationship between the particle and the actual allocation scheme through real number coding to solve the actual allocation problem. Finally, the experimental results show that the algorithm can effectively solve the problem of multi-UAV coordinated task assignment under complex constraints and obtain the optimal distribution sequence. It has certain theoretical and practical significance.

Foundation Support

国家科技支撑计划资助项目(2013BAK06B08)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0303
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3344-3347,3360
Serial Number: 1001-3695(2019)11-032-3344-04

Publish History

[2019-11-05] Printed Article

Cite This Article

蒋硕, 袁小平. 改进PSO算法在多无人机协同任务分配中的应用 [J]. 计算机应用研究, 2019, 36 (11): 3344-3347,3360. (Jiang Shuo, Yuan Xiaoping. Application of improved PSO algorithm in multi UAV cooperative task allocation [J]. Application Research of Computers, 2019, 36 (11): 3344-3347,3360. )

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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