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Acta Armamentarii ›› 2025, Vol. 46 ›› Issue (8): 240971-.doi: 10.12382/bgxb.2024.0971

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Optimal Allocation Algorithm of Firepower Resources Based on the Damage Characteristics

WANG Lu1, YAN Jiang1, YIN Peng1,2, LIU Yan1,2,*(), HUANG Fenglei1   

  1. 1. State Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing 100081, China
    2. Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, Zhejiang, China
  • Received:2024-10-18 Online:2025-08-28
  • Contact: LIU Yan

Abstract:

In order to solve the problems of high dimensionality,multiple constraints and discontinuity of firepower resource allocation,an objective function of firepower resource allocation is constructed based on the four firepower resource allocation indexes,i.e.,the minimization of the number of missiles used,ballistic crossing,interception probability and maximizing strike timeliness,by considering the constraints such as damage efficiency,interception probability,penetration probability,ammunition quantity and damage level.From the perspective of damage assessment,the damage features are designed,which comprise two categories:1)four operational area features:strike timeliness,comprehensive launch capability,firepower coverage capability,and firepower penetration capability;2)five damage scheme features:total quantity requirement,total cost requirement,damage level satisfaction ability,damage scheme cost-effectiveness ratio,and firepower accessibility.A fitness evaluation model based on fused damage characteristics is developed,enabling the generation of high-quality initial solutions and significantly enhancing the optimization efficiency of the algorithm.Furthermore,the heuristic algorithm of efficient neighborhood search is used to obtain the optimal solution of firepower resource allocation problem.The experimental results show that the proposed algorithm can obtain the optimized results more quickly at the small,medium and large scales compared with GA,PSO,WOA,BSO,DGMBSO and RCI-DGMBSO algorithms,which reflects the strong adaptability and efficiency of the proposed algorithm.

Key words: damage feature extraction, firepower allocation, heuristic algorithm, damage assessment

CLC Number: