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Volume 12
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Article

Hybrid Form of Differential Evolutionary and Gray Wolf Algorithm for Multi-AUV Task Allocation in Target Search

by
Ziyun Chen
,
Dengsheng Zhang
,
Chengxiang Wang
and
Qixin Sha
*
Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
*
Author to whom correspondence should be addressed.
Electronics 2023, 12(22), 4575; https://doi.org/10.3390/electronics12224575
Submission received: 18 September 2023 / Revised: 28 October 2023 / Accepted: 1 November 2023 / Published: 8 November 2023
(This article belongs to the Special Issue Application of Artificial Intelligence in Robotics)
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Abstract

For underwater target exploration, multiple Autonomous Underwater Vehicles (AUVs) have shown significant advantages over single AUVs. Aiming at Multi-AUV task allocation, which is an important issue for collaborative work in underwater environments, this paper proposes a Multi-AUV task allocation method based on the Differential Evolutionary Gray Wolf Optimization (DE-GWO) algorithm. Firstly, the working process of the Multi-AUV system was analyzed, and the allocation model and objective function were established. Then, we combined the advantages of the strong global search capability of the Differential Evolutionary (DE) algorithm and the excellent convergence performance of Gray Wolf Optimization (GWO) to solve the task assignment of the Multi-AUV system. Finally, a reassignment mechanism was used to solve the problem of AUV failures during the task’s execution. In the simulation comparison experiments, the DE-GWO, GWO, DE, and Particle Swarm Optimization (PSO) algorithms were carried out for different AUV execution capabilities, respectively.
Keywords: multiple Autonomous Underwater Vehicles (multiple AUVs); task allocation; Differential Evolutionary Gray Wolf Optimization (DE-GWO) algorithm multiple Autonomous Underwater Vehicles (multiple AUVs); task allocation; Differential Evolutionary Gray Wolf Optimization (DE-GWO) algorithm

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MDPI and ACS Style

Chen, Z.; Zhang, D.; Wang, C.; Sha, Q. Hybrid Form of Differential Evolutionary and Gray Wolf Algorithm for Multi-AUV Task Allocation in Target Search. Electronics 2023, 12, 4575. https://doi.org/10.3390/electronics12224575

AMA Style

Chen Z, Zhang D, Wang C, Sha Q. Hybrid Form of Differential Evolutionary and Gray Wolf Algorithm for Multi-AUV Task Allocation in Target Search. Electronics. 2023; 12(22):4575. https://doi.org/10.3390/electronics12224575

Chicago/Turabian Style

Chen, Ziyun, Dengsheng Zhang, Chengxiang Wang, and Qixin Sha. 2023. "Hybrid Form of Differential Evolutionary and Gray Wolf Algorithm for Multi-AUV Task Allocation in Target Search" Electronics 12, no. 22: 4575. https://doi.org/10.3390/electronics12224575

APA Style

Chen, Z., Zhang, D., Wang, C., & Sha, Q. (2023). Hybrid Form of Differential Evolutionary and Gray Wolf Algorithm for Multi-AUV Task Allocation in Target Search. Electronics, 12(22), 4575. https://doi.org/10.3390/electronics12224575

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