Optimization of Multi-target Interception Scheme Based on Performance Simulation Modeling

doi:10.16182/j.issn1004731x.joss.24-0760

Abstract

Abstract:

The air attack scenarios faced by air defense weapons and equipment show the trend of saturation, diversification and intelligence. It is very important to establish multi-target interception efficiency model and optimize interception scheme according to simulation. The current intercepting efficiency index mainly considers the whole operation process, and can not guide the optimization of the intercepting scheme of specific intercepting rounds. The generation of interception schemes mainly relies on experience and simple mathematical model, which is difficult to cope with the increasingly complex and changeable battlefield environment. Therefore, an interception scheme advantage index that comprehensively considers interception probability and interception distance is proposed, and an interception scheme optimization method based on improved greedy algorithm is adopted to optimize the interception scheme. Through simulation, the feasibility and effectiveness of the optimization algorithm based on the interception scheme advantage are verified. Monte Carlo simulation is used to analyze the influence of different values of weighted coefficients in the interception scheme's advantage formula on the decision result, and the suggestions for different operational purposes are put forward.

Key words: multi-target interception effectiveness, intercept project, high probability intercept, long range intercept, improved greedy algorithm

CLC Number:

TP319.9

Liu Hanwen, Zhuo Zhimin, Yang Xue. Optimization of Multi-target Interception Scheme Based on Performance Simulation Modeling[J]. Journal of System Simulation, 2025, 37(9): 2366-2374.

Figures/Tables 9

Fig. 1

Fig. 2

Table 1

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Table 2

Influence of different weighting coefficients on favorable degree

$λ$	尽远拦截	高概率拦截	改进贪心算法拦截
0	1 450.2	586.0	1 377.7
0.1	1 277.2	599.5	1 205.6
0.2	1 162.6	727.4	1 113.0
0.3	1 009.0	704.9	996.1
0.4	906.5	837.1	911.9
0.5	851.3	768.8	1 059.0
0.6	623.8	1 062.0	1 145.7
0.7	542.3	1 070.5	1 179.8
0.8	510.6	1 100.3	1 096.2
0.9	457.1	1 147.6	1 146.4
1	175.6	1 300.8	1 258.6

Table 2

Fig. 7

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