A Distributed Collaborative Dynamic Weapon-Target Assignment Method Based on Improved Binary Particle Swarm Optimization Algorithm

被引：0

作者：

Xu, Shengli ^{[1
,2
]}

Liu, Yintian ^{[2
]}

Zhang, Hongcheng ^{[3
]}

Wei, Yali ^{[2
]}

Fang, Yangwang ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Xian 710072, Peoples R China

[2] Shanghai Electromech Engn Inst, Shanghai 201109, Peoples R China

[3] Shanghai Acad Spaceflight Technol, Shanghai 201109, Peoples R China

来源：

PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022 | 2023年 / 1010卷

关键词：

Binary particle swarm optimization; Weapon-target assignment; Cooperative dynamic assignment; Threat assessment;

D O I：

10.1007/978-981-99-0479-2_288

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Weapon-Target Assignment (WTA) problem is discussed in this study using air-to-air missiles as the research subject. A weapon target assignment model that can be used with air-to-air missiles is later proposed when a threat assessment model is first built. Additionally, the target assignment model is resolved using the binary particle swarm optimization (BPSO). Then a simulation of a typical fighting scenario was created. The target assignment model is effectively specified, the algorithm is solved consistently, and the algorithm converges quickly, according to the simulation statistics. The approach establishes the groundwork for solving the later missile weapon-target assignment problem.

引用

页码：3128 / 3142

页数：15

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