Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 1
177-182

Brain storm optimization algorithm for multi-UAV path planning with angular energy consumption

Qi Yuanhang1,2
Huang Zijun1
Zeng Chuxiang1
Huang Gewen3
Wang Fujie4
1. School of Computer Science, University of Electronic Science & Technology of China, Zhongshan Institute, Zhongshan Guangdong 528402, China
2. School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China
3. Information & Network Center, Jiaying University, Meizhou Guangdong 514015, China
4. School of Electrical Engineering & Intelligentization, Dongguan University of Technology, Dongguan Guangdong 523808, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0160

Abstract

In view of the application scenarios that multiple UAVs cooperate with each other to complete the field sensor data collection task, it is particularly important to establish a path planning problem model for multiple UAVs with accurate energy consumption model. This paper presented the MUPP-AEC problem. The MUPP-AEC toke into account the differences in energy consumption under UAV acceleration, deceleration, cruising in constant speed and turning. For solving the MUPP-AEC, this paper proposed the DBSO-OS. In DBSO-OS, this paper proposed individual space integer encoding and the phased greedy decoding strategy with 2-opt, and defined the perturbation operator and individual update operator discretely. The individual update operators adopted the new individual generation strategy utilizing the random inversion transformation and the partial matching transformation. The experimental results show that the proposed algorithm can effectively solve the MUPP-AEC. The proposed discrete brainstorm operator is superior to the traditional brainstorm operators in terms of global convergence ability, convergence precision, and stability. In the small and medium-sized test cases and the large test cases, the proposed algorithm is better than the compared algorithms.

Foundation Support

广东省自然科学基金资助项目(2019A1515010493)
广东省普通高校青年创新人才项目(2018KQNCX333,2018KQNCX252)
广东省普通高校重点领域专项(2019KZDZX1052,2020ZDZX3030)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0160
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Algorithm Research & Explore
Pages: 177-182
Serial Number: 1001-3695(2022)01-031-0177-06

Publish History

[2022-01-05] Printed Article

Cite This Article

戚远航, 黄子峻, 曾楚祥, 等. 头脑风暴优化算法求解带转角能耗多无人机路径规划问题 [J]. 计算机应用研究, 2022, 39 (1): 177-182. (Qi Yuanhang, Huang Zijun, Zeng Chuxiang, et al. Brain storm optimization algorithm for multi-UAV path planning with angular energy consumption [J]. Application Research of Computers, 2022, 39 (1): 177-182. )

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  • 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.

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