A comprehensive survey of weapon target assignment problem: Model, algorithm, and application

IF 7.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jinrui Li , Guohua Wu , Ling Wang
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引用次数: 0

Abstract

This paper provides an overview of the weapon target assignment problem, which aims to optimize the assignment of weapons to targets in order to maximize weapon damage to targets. The weapon target assignment problem can be viewed as a specialized instance of the optimal resource assignment problem. With the advancement of weapons technology, high-speed and high-lethality missiles have become more advanced, and their tactical applications more diverse. These missiles can strike targets with greater accuracy and improved concealment, posing a significant threat to both attackers and defenders. Consequently, the weapon target assignment problem has become a pressing concern in the field of military offense and defense. Subsequently, researchers worldwide are devoting significant efforts to address the weapon target assignment problem through the utilization of exact algorithms, heuristic algorithms, meta-heuristic algorithms, and artificial intelligence methods. This paper provides a brief review of the weapon target assignment problem development history, formula, solution techniques, and applications. We categorize weapon target assignment problems into four different formulas, considering the complexity of combat scenarios, and summarize various solution methods for each category. Furthermore, we also emphasize the relevance of weapon target assignment problems in national defense applications. Lastly, we conclude by discussing potential avenues for future research in addressing the weapon target assignment problem.

武器目标分配问题综述:模型、算法和应用
本文概述了武器目标分配问题,该问题旨在优化武器对目标的分配,以最大限度地提高武器对目标的伤害。武器目标分配问题可视为最优资源分配问题的一个专门实例。随着武器技术的发展,高速和高杀伤力导弹变得越来越先进,其战术应用也更加多样化。这些导弹能以更高的精度和更强的隐蔽性打击目标,对攻击者和防御者都构成了巨大威胁。因此,武器目标分配问题已成为军事进攻和防御领域亟待解决的问题。因此,世界各国的研究人员正通过利用精确算法、启发式算法、元启发式算法和人工智能方法,为解决武器目标分配问题付出巨大努力。本文简要回顾了武器目标分配问题的发展历史、公式、求解技术和应用。考虑到作战场景的复杂性,我们将武器目标分配问题分为四种不同的公式,并总结了每类问题的各种求解方法。此外,我们还强调了武器目标分配问题在国防应用中的相关性。最后,我们讨论了未来解决武器目标分配问题的潜在研究途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
9.60
自引率
10.00%
发文量
505
审稿时长
68 days
期刊介绍: Artificial Intelligence (AI) is pivotal in driving the fourth industrial revolution, witnessing remarkable advancements across various machine learning methodologies. AI techniques have become indispensable tools for practicing engineers, enabling them to tackle previously insurmountable challenges. Engineering Applications of Artificial Intelligence serves as a global platform for the swift dissemination of research elucidating the practical application of AI methods across all engineering disciplines. Submitted papers are expected to present novel aspects of AI utilized in real-world engineering applications, validated using publicly available datasets to ensure the replicability of research outcomes. Join us in exploring the transformative potential of AI in engineering.
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