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

Unlocking the high dimensional’ potential: Comparative analysis of qubits and qutrits in variational quantum neural networks DOI

Erdi Acar, İhsan Yılmaz

Neurocomputing, Journal Year: 2025, Volume and Issue: 623, P. 129404 - 129404

Published: Jan. 13, 2025

Language: Английский

Citations

Weapon-Target Assignment Strategy in Joint Combat Decision-Making Based on Multi-Head Deep Reinforcement Learning DOI

Shuai Li,

Xiaoyuan He,

Xiao Xu

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 113740 - 113751

Published: Jan. 1, 2023

In response to the modeling difficulties and low search efficiency of traditional weapon-target assignment algorithms, this paper proposes a deep reinforcement learning-based intelligent method. A model with strong decision-making capabilities (RL4WTA) is obtained by training. Firstly, multi-constraint optimization established discretize dynamic problem into static problem. Furthermore, planning solving environment for (WTA) designed, Markov Decision Process (MDP) WTA tasks constructed based on model. This provides foundation using learning algorithms. Additionally, WTA-solving proposed in paper. By utilizing multi-head Q-value network, complex joint decision space decoupled, thereby improving The use masking mechanism allows inferring valid actions that satisfy constraint conditions under current situation, reducing uncertainty during training process. Experimental results show model, RL4WTA, can generate satisfactory solutions adaptively both small-scale large-scale scenarios. Compared superior adaptability computational efficiency, meeting requirements making optimal decisions problems.

Language: Английский

Citations

Quantum financing system: A survey on quantum algorithms, potential scenarios and open research issues DOI

Yang Lu,

Jiaxian Yang

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 41, P. 100663 - 100663

Published: July 14, 2024

Language: Английский

Citations

Weapon-target assignment for unmanned aerial vehicles: A multi-strategy threshold public goods game approach DOI

Wenhao Bi,

Zhaoxi Wang,

Yang Xu

et al.

Defence Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

Constraint-Feature-Guided Evolutionary Algorithms for Multi-Objective Multi-Stage Weapon-Target Assignment Problems DOI

Danjing Wang,

Bin Xin,

Yipeng Wang

et al.

Journal of Systems Science and Complexity, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

Target assignment for multiple stages of weapons systems using a deep Q-learning network and a modified artificial bee colony method DOI

Xiaochen Wang, Yong Zhang, Gang Wang

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109378 - 109378

Published: June 24, 2024

Language: Английский

Citations

War game problem considering the mobility of weapons and targets DOI

Nader Shamami,

Esmaeil Mehdizadeh, Mehdi Yazdani

et al.

Journal of Engineering Research, Journal Year: 2023, Volume and Issue: 12(1), P. 214 - 225

Published: Nov. 23, 2023

War-Gaming is recognized as a valuable tool for commanders, leaders, and managers. Well-executed War-Games have delivered significant competitive advantages in numerous conflicts. The war-game confirmed the commanders' knowledge of weapon systems performance, well time space necessary to carry out battlefield maneuvers. One primary missions each army on target assignment. assignment (WTA) critical problem command be solved decisions. In WTA problem, we should assign available weapons determined targets appropriately optimize performance criteria. This study discusses relation allocating scheduling considering mobility targets. Bi-level linear programming defined so that level independently optimizes its own objective functions but influenced by actions taken another unit. To solve under studied three famous meta-heuristic algorithms including simulated annealing (SA), genetic algorithm (GA) grey wolf optimizer (GWO) methods are proposed. Since depends setting parameters, Taguchi method has been used statistically set parameters developed Algorithms. Performance evaluation presented conducted through numerical experiments involving randomly generated test problems. compare results proposed algorithms, ANOVA Tukey tests were used. Computational shown GWO worked better than SA GA algorithms.

Language: Английский

Citations

Adaptive evolutionary algorithm for air defense resource allocation optimization DOI

LiNing XING,

TianYu LUO,

Hao LI

et al.

Scientia Sinica Technologica, Journal Year: 2024, Volume and Issue: 54(9), P. 1707 - 1719

Published: Feb. 5, 2024

随着防空作战的快速性和突发性不断增强，防空资源分配作为防空作战的关键关节，其核心挑战在于如何在短时间内制定拦截效率最大化的方案。结合现代防空作战的特点，在综合考虑多部雷达接力跟踪、多枚导弹拦截同一目标和目标优先级等因素的基础上，构建了防空资源分配数学模型。将启发式规则的运算效率及定制化优势与演化算法的广域搜索优势相结合，设计一种新的自适应演化算法对此问题分阶段求解。在迭代过程中引入资源释放和重规划的方法为目标分配第一枚导弹的资源分配方案，在迭代后采用启发式规则按需分配多枚导弹。通过对不同资源与不同规模的算例进行数值仿真实验，验证了该算法具有求解时间和求解精度上的优越性，可有效解决防空资源分配问题，为高烈度场景下防空作战能力的高效保持提供有利支持。

Citations

Air Defense Resource Deployment Optimization Based on Particle Swarm Optimization Algorithm DOI

Jian Yu,

Bin Shan, Qilong Huang

et al.

Published: April 26, 2024

With the evolving nature of future warfare, it has become an important research topic to quickly and accurately obtain optimal resource deployment plan under specific constraints. This paper focuses on optimization air defense deployment, with coverage rate as ultimate goal. It adopts particle swarm algorithm seek solution best plan. Experimental results show that intelligent can a higher in shorter time.

Language: Английский

Citations

Efficient Adaptive Large Neighborhood Search for Sensor–Weapon–Target Assignment DOI

Wang Yang, Junpeng Wang, Jin‐Kao Hao

et al.

IEEE Transactions on Systems Man and Cybernetics Systems, Journal Year: 2024, Volume and Issue: 54(10), P. 6397 - 6409

Published: Aug. 2, 2024

Language: Английский

Citations