An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms

Ruowei Zhang; Lihua Dou; Bin Xin

doi:10.1109/ICUS58632.2023.10318252

An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms

Ruowei Zhang, Lihua Dou, Bin Xin^*

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the rapid development of artificial intelligence technology, unmanned aerial vehicles and unmanned ground vehicles have become increasingly popular as substitutes for humans to perform various search reconnaissance and other tasks. However one unmanned aerial vehicle or one unmanned ground vehicle is difficult to meet the multi-dimensional requirements of the task due to its limited load. This paper conducts research on the construction problem of multi-group unmanned platforms (CPMGUP) based on the requirements of tasks. Firstly, tasks are grouped using the k-means clustering algorithm. Then, an ability-centered clustering algorithm (ACCA) was proposed to solve the CPMGUP based on the requirements of the task groups. Finally, numerical experiments were conducted to verify the effectiveness of the ACCA and compare it with the improved genetic algorithm.

Original language	English
Title of host publication	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Editors	Rong Song
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1225-1230
Number of pages	6
ISBN (Electronic)	9798350316308
DOIs	https://doi.org/10.1109/ICUS58632.2023.10318252
Publication status	Published - 2023
Event	2023 IEEE International Conference on Unmanned Systems, ICUS 2023 - Hefei, China Duration: 13 Oct 2023 → 15 Oct 2023

Publication series

Name	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

Conference

Conference	2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Country/Territory	China
City	Hefei
Period	13/10/23 → 15/10/23

Keywords

ability-centered clustering algorithm
improved genetic algorithm
k-means clustering algorithm
multi-group unmanned platforms
task groups

Access to Document

10.1109/ICUS58632.2023.10318252

Cite this

Zhang, R., Dou, L., & Xin, B. (2023). An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms. In R. Song (Ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 (pp. 1225-1230). (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS58632.2023.10318252

Zhang, Ruowei ; Dou, Lihua ; Xin, Bin. / An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. editor / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1225-1230 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

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title = "An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms",

abstract = "With the rapid development of artificial intelligence technology, unmanned aerial vehicles and unmanned ground vehicles have become increasingly popular as substitutes for humans to perform various search reconnaissance and other tasks. However one unmanned aerial vehicle or one unmanned ground vehicle is difficult to meet the multi-dimensional requirements of the task due to its limited load. This paper conducts research on the construction problem of multi-group unmanned platforms (CPMGUP) based on the requirements of tasks. Firstly, tasks are grouped using the k-means clustering algorithm. Then, an ability-centered clustering algorithm (ACCA) was proposed to solve the CPMGUP based on the requirements of the task groups. Finally, numerical experiments were conducted to verify the effectiveness of the ACCA and compare it with the improved genetic algorithm.",

keywords = "ability-centered clustering algorithm, improved genetic algorithm, k-means clustering algorithm, multi-group unmanned platforms, task groups",

author = "Ruowei Zhang and Lihua Dou and Bin Xin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 ; Conference date: 13-10-2023 Through 15-10-2023",

year = "2023",

doi = "10.1109/ICUS58632.2023.10318252",

language = "English",

series = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1225--1230",

editor = "Rong Song",

booktitle = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

address = "United States",

}

Zhang, R, Dou, L & Xin, B 2023, An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms. in R Song (ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1225-1230, 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Hefei, China, 13/10/23. https://doi.org/10.1109/ICUS58632.2023.10318252

An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms. / Zhang, Ruowei; Dou, Lihua; Xin, Bin.
Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. ed. / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1225-1230 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms

AU - Zhang, Ruowei

AU - Dou, Lihua

AU - Xin, Bin

PY - 2023

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N2 - With the rapid development of artificial intelligence technology, unmanned aerial vehicles and unmanned ground vehicles have become increasingly popular as substitutes for humans to perform various search reconnaissance and other tasks. However one unmanned aerial vehicle or one unmanned ground vehicle is difficult to meet the multi-dimensional requirements of the task due to its limited load. This paper conducts research on the construction problem of multi-group unmanned platforms (CPMGUP) based on the requirements of tasks. Firstly, tasks are grouped using the k-means clustering algorithm. Then, an ability-centered clustering algorithm (ACCA) was proposed to solve the CPMGUP based on the requirements of the task groups. Finally, numerical experiments were conducted to verify the effectiveness of the ACCA and compare it with the improved genetic algorithm.

AB - With the rapid development of artificial intelligence technology, unmanned aerial vehicles and unmanned ground vehicles have become increasingly popular as substitutes for humans to perform various search reconnaissance and other tasks. However one unmanned aerial vehicle or one unmanned ground vehicle is difficult to meet the multi-dimensional requirements of the task due to its limited load. This paper conducts research on the construction problem of multi-group unmanned platforms (CPMGUP) based on the requirements of tasks. Firstly, tasks are grouped using the k-means clustering algorithm. Then, an ability-centered clustering algorithm (ACCA) was proposed to solve the CPMGUP based on the requirements of the task groups. Finally, numerical experiments were conducted to verify the effectiveness of the ACCA and compare it with the improved genetic algorithm.

KW - ability-centered clustering algorithm

KW - improved genetic algorithm

KW - k-means clustering algorithm

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BT - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

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Zhang R, Dou L, Xin B. An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms. In Song R, editor, Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1225-1230. (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). doi: 10.1109/ICUS58632.2023.10318252

An Ability-Centered Clustering Algorithm for Solving the Construction Problem of Multi-Group Unmanned Platforms

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