Current development and future prospects of multi-target assignment problem: A bibliometric analysis review
The multi-target assignment (MTA) problem, a crucial challenge in command control, mission planning, and a fundamental research focus in military operations, has garnered significant attention over the years. Extensively studied across various domains such as land, sea, air, space, and electronics,...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-01-01
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| Series: | Defence Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914724002228 |
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| author | Shuangxi Liu Zehuai Lin Wei Huang Binbin Yan |
| author_facet | Shuangxi Liu Zehuai Lin Wei Huang Binbin Yan |
| author_sort | Shuangxi Liu |
| collection | DOAJ |
| description | The multi-target assignment (MTA) problem, a crucial challenge in command control, mission planning, and a fundamental research focus in military operations, has garnered significant attention over the years. Extensively studied across various domains such as land, sea, air, space, and electronics, the MTA problem has led to the emergence of numerous models and algorithms. To delve deeper into this field, this paper starts by conducting a bibliometric analysis on 463 Scopus database papers using CiteSpace software. The analysis includes examining keyword clustering, co-occurrence, and burst, with visual representations of the results. Following this, the paper provides an overview of current classification and modeling techniques for addressing the MTA problem, distinguishing between static multi-target assignment (SMTA) and dynamic multi-target assignment (DMTA). Subsequently, existing solution algorithms for the MTA problem are reviewed, generally falling into three categories: exact algorithms, heuristic algorithms, and machine learning algorithms. Finally, a development framework is proposed based on the ''HIGH'' model (high-speed, integrated, great, harmonious) to guide future research and intelligent weapon system development concerning the MTA problem. This framework emphasizes application scenarios, modeling mechanisms, solution algorithms, and system efficiency to offer a roadmap for future exploration in this area. |
| format | Article |
| id | doaj-art-a82e5f94f4264f7aa18e59a755f0572b |
| institution | Kabale University |
| issn | 2214-9147 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Defence Technology |
| spelling | doaj-art-a82e5f94f4264f7aa18e59a755f0572b2025-01-23T05:26:49ZengKeAi Communications Co., Ltd.Defence Technology2214-91472025-01-01434459Current development and future prospects of multi-target assignment problem: A bibliometric analysis reviewShuangxi Liu0Zehuai Lin1Wei Huang2Binbin Yan3College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, China; Hypersonic Technology Laboratory, National University of Defense of Technology, Changsha, 410073, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi'an, 710072, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, China; Hypersonic Technology Laboratory, National University of Defense of Technology, Changsha, 410073, China; Corresponding author.School of Astronautics, Northwestern Polytechnical University, Xi'an, 710072, ChinaThe multi-target assignment (MTA) problem, a crucial challenge in command control, mission planning, and a fundamental research focus in military operations, has garnered significant attention over the years. Extensively studied across various domains such as land, sea, air, space, and electronics, the MTA problem has led to the emergence of numerous models and algorithms. To delve deeper into this field, this paper starts by conducting a bibliometric analysis on 463 Scopus database papers using CiteSpace software. The analysis includes examining keyword clustering, co-occurrence, and burst, with visual representations of the results. Following this, the paper provides an overview of current classification and modeling techniques for addressing the MTA problem, distinguishing between static multi-target assignment (SMTA) and dynamic multi-target assignment (DMTA). Subsequently, existing solution algorithms for the MTA problem are reviewed, generally falling into three categories: exact algorithms, heuristic algorithms, and machine learning algorithms. Finally, a development framework is proposed based on the ''HIGH'' model (high-speed, integrated, great, harmonious) to guide future research and intelligent weapon system development concerning the MTA problem. This framework emphasizes application scenarios, modeling mechanisms, solution algorithms, and system efficiency to offer a roadmap for future exploration in this area.http://www.sciencedirect.com/science/article/pii/S2214914724002228Multi-target assignmentOffensive and defensive confrontationCooperative operationModeling mechanismSolution algorithmCiteSpace analysis |
| spellingShingle | Shuangxi Liu Zehuai Lin Wei Huang Binbin Yan Current development and future prospects of multi-target assignment problem: A bibliometric analysis review Defence Technology Multi-target assignment Offensive and defensive confrontation Cooperative operation Modeling mechanism Solution algorithm CiteSpace analysis |
| title | Current development and future prospects of multi-target assignment problem: A bibliometric analysis review |
| title_full | Current development and future prospects of multi-target assignment problem: A bibliometric analysis review |
| title_fullStr | Current development and future prospects of multi-target assignment problem: A bibliometric analysis review |
| title_full_unstemmed | Current development and future prospects of multi-target assignment problem: A bibliometric analysis review |
| title_short | Current development and future prospects of multi-target assignment problem: A bibliometric analysis review |
| title_sort | current development and future prospects of multi target assignment problem a bibliometric analysis review |
| topic | Multi-target assignment Offensive and defensive confrontation Cooperative operation Modeling mechanism Solution algorithm CiteSpace analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2214914724002228 |
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