Static Air Defense and Antimissile Kill-Net Construction Method Based on Double-Layer Genetic Algorithm
FU Yulong
ZHANG Haibin
GUO Xiangke
QI Yutao
Abstract：In air defense and antimissile operations,constructing an efficient kill-net is a key part to ensu-ring the success of air defense tasks,while it is tricky to model and to optimize such problems.This paper aims to model the construction of static kill-net from the perspective of combinatorial optimization and pro-pose efficient optimization methods.Considering the characteristics of the kill-net construction problem,this paper establishes a mixed-integer programming model and uses a bilevel optimization modeling scheme for simplification.By the cooperation of the leader problem of tasks assignment and the follower problem of resolving conflicts,the optimization difficulty is reduced.Subsequently,a solution framework based on a bilevel genetic algorithm is designed.In experimental tests on 4 sets of different-scale environments,the algorithm is able to get a fine result quickly,with great interpretability and a good capabilities for solving larger-scale problem.This work provides insights for the autonomous intelligent construction of static kill-net in the field of air defense and could serve as the basis for research focusing on dynamic kill-net adjust-ment.
Keywords：mixed integer programmingkill-netgenetic algorithmair defense and antimissile
Publication Date：2025-02-24
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 59-66 )