Modern Defense Technology ›› 2024, Vol. 52 ›› Issue (6): 47-51.DOI: 10.3969/j.issn.1009-086x.2024.06.007

• MILITARY INTELLIGENCE • Previous Articles     Next Articles

Heuristic Target Assignment Method for Swarm Operations

Xiqing WEI1, Sha DU2   

  1. 1.Shanghai Dianji University,Shanghai 201306,China
    2.Ningbo Institute of Northwestern Polytechnical University,Ningbo 315103,China
  • Received:2023-08-21 Revised:2023-11-15 Online:2024-12-28 Published:2024-12-26

蜂群作战的启发式目标分配方法

魏喜庆1, 杜厦2   

  1. 1.上海电机学院,上海 201306
    2.西北工业大学 宁波研究院,浙江 宁波 315103
  • 作者简介:魏喜庆(1982-),男,黑龙江鹤岗人。讲师,博士,研究方向为制导控制与人工智能。

Abstract:

With the development of low-cost and intelligent technologies, swarm operations are becoming a hot research topic. As the size of the swarm increases, efficient target assignment algorithms become an important research direction. In order to improve the computational efficiency of target assignment, this paper takes the surplus value of target clusters as the optimization goal, uses the greedy algorithm to select local optimal solutions step by step, and ultimately obtains an approximate global optimal solution for target assignment. Simulation of typical target assignment problems verifies the effectiveness of the proposed algorithm.

Key words: swarm, unmanned systems, target assignment, heuristic, greedy algorithm

摘要:

由于低成本和智能化技术的发展,蜂群作战正在成为现在的研究热点。随着蜂群规模的增加,高效的目标分配算法成为其中的一个重要研究方向。为了提高目标分配的计算效率,利用目标集群的剩余价值作为优化目标,使用贪婪算法分步选取局部最优解,最终获取目标分配的近似全局最优解。通过对典型目标分配问题的仿真,验证了提出算法的有效性。

关键词: 蜂群, 无人系统, 目标分配, 启发式, 贪婪算法

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