空军工程大学学报2025，Vol.26Issue(1)：59-66,8.DOI:10.3969/j.issn.2097-1915.2025.01.008
基于双层遗传算法的静态防空反导杀伤网构建方法
Static Air Defense and Antimissile Kill-Net Construction Method Based on Double-Layer Genetic Algorithm
摘要
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.关键词
混合整数规划/杀伤网/遗传算法/防空反导Key words
mixed integer programming/kill-net/genetic algorithm/air defense and antimissile分类
信息技术与安全科学引用本文复制引用
付昱龙,张海宾,郭相科,戚玉涛..基于双层遗传算法的静态防空反导杀伤网构建方法[J].空军工程大学学报,2025,26(1):59-66,8.基金项目
国家自然科学基金(61772392) （61772392）
