面向时敏目标的订单式火力打击规划验证研究

doi:10.12305/j.issn.1001-506X.2026.10.24

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (10): 3541-3551.doi: 10.12305/j.issn.1001-506X.2026.10.24

• 系统工程 • 上一篇

面向时敏目标的订单式火力打击规划验证研究

李新其¹(), 张心怡²(), 杨萍³, 钱力滢², 刘庆国²

1. 火箭军工程大学初级指挥系，陕西西安 710025
2. 火箭军工程大学研究生院，陕西西安 710025
3. 火箭军工程大学基础部，陕西西安 710025

收稿日期:2025-02-12 出版日期:2026-10-25 发布日期:2026-09-30
通讯作者: 张心怡 E-mail:lhxlihongxia@163.com;626325695@qq.com
作者简介:李新其（1975—），男，教授，博士，主要研究方向为运筹规划以及作战指挥
杨　萍（1968—），女，教授，博士，主要研究方向为军事系统建模与仿真、军事智能计算、导弹作战运等
钱力滢（2003—），男，硕士研究生，主要研究方向为航空航天科学与技术
刘庆国（2003—），男，硕士研究生，主要研究方向为航空航天科学与技术
基金资助:
2024年度研究生重点项目（JY2024B064）资助课题

Research on the verification of order-based firepower strike planning for time-sensitive targets

Xinqi Li¹(), Xinyi Zhang²(), Ping Yang³, Liying Qian², Qingguo Liu²

1. Department of Primary Command，Rocket Force Engineering University，Xi’an 710025，China
2. Graduate School of Rocket Force Engineering University，Xi'an 710025，China
3. Basic Department，Rocket Force Engineering University，Xi’an 710025，China

Received:2025-02-12 Online:2026-10-25 Published:2026-09-30
Contact: Xinyi Zhang E-mail:lhxlihongxia@163.com;626325695@qq.com

摘要/Abstract

摘要：

订单式作战是战场上出现的一种新型作战样式，为解决该作战样式打击陆上时敏目标的实时订单分配问题，针对自主竞单-派单与强制派单两种订单式火力打击样式，构建任务部队自主竞单模型、指挥机构最小成本派单模型及多批次优化模型。采用改进遗传算法进行规划分配，定量对比了该作战样式在任务时效、成本、毁伤概率及时敏目标响应方面的优势，与其他算法进行了对比，对二次自主竞单结合强制派单进行优化。仿真实验表明，所提模型和算法能够初步满足订单式火力打击任务规划的运算需要，具备重要军事应用价值。

关键词: 陆上时敏目标, 订单式火力打击规划, 改进遗传算法, 自主竞单, 强制派单

Abstract:

Order-based combat is a new type of combat style emerging on the battlefield. In order to solve the real-time order allocation problem of this combat style against land-based time-sensitive targets, two types of order-based firepower strike styles are designed, namely, autonomous bidding-order dispatching and mandatory dispatching. Additionally, the autonomous bidding model of task force, the minimum-cost dispatching model of commanding organization, and the multi-batch optimization model are constructed. Moreover, the improved genetic algorithm is adopted for planning and allocation, and the advantages of this combat style in terms of mission timeliness, cost, probability of destruction and time-sensitive target response are quantitatively compared. The improved genetic algorithm also compares with other algorithms to optimize the secondary autonomous bidding order combined with mandatory assignment. Simulation experiments show that the model and algorithm proposed can initially meet the operational needs of order-based firepower strike mission planning, and have important military application value.

Key words: land-based time-sensitive target, order-based firepower strike planning, improved genetic algorithm, autonomous bidding, forced dispatch

中图分类号:

E917

李新其, 张心怡, 杨萍, 钱力滢, 刘庆国. 面向时敏目标的订单式火力打击规划验证研究[J]. 系统工程与电子技术, 2026, 48(10): 3541-3551.

Xinqi Li, Xinyi Zhang, Ping Yang, Liying Qian, Qingguo Liu. Research on the verification of order-based firepower strike planning for time-sensitive targets[J]. Systems Engineering and Electronics, 2026, 48(10): 3541-3551.

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序号	目标类别	目标代号	目标位置/km	驻停时间/min
1	机动雷达	O8	（1 092.32, 411.08）	30
2	反导单元	O4	（1 100.48, 549.95）	35
3	车载干扰	O5	（1 080.52, 575.38）	32
$\vdots $	$\vdots $	$\vdots $	$\vdots $	$\vdots $

序号	目标类别	目标代号	目标位置/km	驻停时间/min
1	反导单元	O10	（1 011.90,1 511.20）	40
2	车载雷达干扰	O10	（1 084.61,418.36）	30
3	车载雷达诱标	O11	（1 092.32,411.08）	30
$\vdots $	$\vdots $	$\vdots $	$\vdots $	$\vdots $

算法超参数	参数值
种群规模	150
迭代次数	200
交叉概率	0.8
变异概率	0.2

序号	目标类别	目标代号	目标位置/km	驻停时间/min
1	机动雷达站	O1	（1 105.34,535.96）	30
2	防空武器单元	O2	（1 100.63,550.01）	30
3	防空武器单元	O3	（1 100. 53,550.21）	30
4	防空武器单元	O4	（1 100.48,549.95）	30
5	车载定位干扰系统	O5	（1 080.52,575.38）	30
6	车载雷达干扰系统	O6	（1 11 6.03,539.80）	30
7	机动雷达站	O7	（1 090.32,416.08）	30
8	防空武器单元	O8	（1 093.75,414.08）	30
9	防空武器单元	O9	（1 093.59,414.22）	30
10	车载雷达干扰系统	O10	（1 084.61,418.36）	30
11	车载雷达诱标系统	O11	（1 092.32,411.08）	30
12	机动雷达站	O12	（1 045.94,268.35）	30
13	防空武器单元	O13	（1 042.29,260.56）	30
14	防空武器单元	O14	（1 042.38,260.71）	30
15	车载定位干扰系统	O15	（1 048.02,272.65）	30
16	车载雷达干扰系统	O16	（1 040.49,260.75）	30
17	车载雷达诱标系统	O17	（1 043.94,262.59）	30

优化算法（总成本最小）	收敛时间/s	求解结果
改进遗传算法	0.174 4	21 400
离散粒子群算法	0.176 7	26 010
模拟退火+禁忌搜索算法	0.436 0	23 500

面向时敏目标的订单式火力打击规划验证研究

Research on the verification of order-based firepower strike planning for time-sensitive targets

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图/表 21

参考文献 33

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派单序号	蓝方目标	作战旅	发射数量/枚	发射时刻/min	成爆时刻/min	成本/万元
1	O1	R6	5	T+15.79+∆d	T+22.99+∆d	500
2	O2	R8	5	T+15.24+∆d	T+21.99+∆d	1 000
3	O3	R8	5	T+15.25+∆d	T+21.99+∆d	1 000
4	O4	R8	5	T+15.26+∆d	T+21.99+∆d	1 000
5	O7	R1	3	T+15.89+∆d	T+25.11+∆d	1 500
6	O8	R5	2	T+16.50+∆d	T+23.34+∆d	3 000
7	O9	R8	5	T+8.50+∆d	T+24.11+∆d	1 000
8	O12	R2	3	T+15.76+∆d	T+24.51+∆d	2 400
9	O13	R3	3	T+15.32+∆d	T+2 3.51+∆d	3 600
10	O14	R3	3	T+15.32+∆d	T+23.51+∆d	3 600

派单方案模型	自主竞单-派单	强制派单
行动流程时间/min	24.51+∆d	28.63
方案成本/万元	18 600	17 400
最大毁伤概率	0.875 1	0.858 0
最小伤概率	0.807 2	0.801 1

派单序号	蓝方目标	作战旅	发射数量/ 枚	发射时刻/min	成爆时刻/min	成本/万元
1	O18	R1	2	T+17.50+∆d	T+26.22+∆d	1 000
2	O19	R1	2	T+17.50+∆d	T+26.22+∆d	1 000
3	O20	R1	2	T+17.50+∆d	T+26.20+∆d	1 000
4	O21	R1	2	T+17.50+∆d	T+26.23+∆d	1 000
5	O22	R7	5	T+15.00+∆d	T+22.47+∆d	450
6	O23	R7	5	T+15.00+∆d	T+22.47+∆d	450

任务规模	存储弹量/枚	收敛时间/s	最小成本/万元
6目标	25, 55, 25, 30, 30, 80, 120, 20	0.574 6	10 010
10目标	20, 60, 20, 40, 25, 50, 80, 30	0.594 8	21 400
15目标	15, 80, 10, 30, 25, 50, 100, 30	0.626 9	25 280

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派单序号	蓝方目标	作战旅	发射数量/枚	发射时刻/min	成爆时刻/min	消耗成本/万元
1	O1	R8	2	T+16.40	T+24.00	400
2	O2	R8	5	T+13	T+19.75	1 000
3	O3	R6	16	T+16	T+23.00	1 600
4	O4	R6	16	T+16	T+23.00	1 600
5	O7	R8	2	T+14.23	T+29.63	400
6	O8	R8	5	T+13	T+28.63	1 000
7	O9	R8	5	T+13	T+28.61	1 000
8	O12	R3	2	T+19.59	T+27.78	2 400
9	O13	R2	5	T+18	T+26.78	4 000
10	O14	R2	5	T+18	T+26.78	4 000