A Research on Kill Net Generation Technology of Cooperative Combat System Based on SG-DPSO Algorithm

Shuying Wu, Peiqi Kang, Jiarui Li, Bo Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the process of System-of-Systems, the coordinated kill net composed of platforms has a strong adaptive ability to dynamically generated threats and changing environments, which provides the basic support for cross-domain cooperative operations. The modern battlefield environment is full of uncertainty, so it is very important for military command decision to build kill net based on operational demand and current situation of battlefield. In this paper, an optimization algorithm is proposed based on discrete particle swarm optimization, aiming at the problem of kill net generation under the constraint of the topological relationship of the combat network, which can pre-plan before the battle. The population renewal method based on cross variation is constructed in discrete domain, and the self-organizing inertia weight and acceleration coefficient are integrated. All these methods improve the efficiency of both global search and local search, and overcomes the problem of particle swarm algorithm easily falling into local optimal solutions.

源语言英语
主期刊名Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems, 4th ICAUS 2024 - Volume VII
编辑Lianqing Liu, Yifeng Niu, Wenxing Fu, Yi Qu
出版商Springer Science and Business Media Deutschland GmbH
128-138
页数11
ISBN(印刷版)9789819635917
DOI
出版状态已出版 - 2025
活动4th International Conference on Autonomous Unmanned Systems, ICAUS 2024 - Shenyang, 中国
期限: 19 9月 202421 9月 2024

出版系列

姓名Lecture Notes in Electrical Engineering
1380 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议4th International Conference on Autonomous Unmanned Systems, ICAUS 2024
国家/地区中国
Shenyang
时期19/09/2421/09/24

指纹

探究 'A Research on Kill Net Generation Technology of Cooperative Combat System Based on SG-DPSO Algorithm' 的科研主题。它们共同构成独一无二的指纹。

引用此