海军航空大学学报2024，Vol.39Issue(5)：640-648,9.DOI:10.7682/j.issn.2097-1427.2024.05.014
基于遗传蚁群算法的武器目标分配优化方法
Weapon Target Assignment Optimization Method Based on Genetic-Ant Colony Optimization
摘要
Abstract
In order to tackle the low accuracy issue of evolutionary algorithms in solving weapon target assignment prob-lems,an algorithm with ant colony optimization named Genetic Algorithm based on Ant Colony Optimization is pro-posed.Chaotic mapping random initialization method is developed to initialize the population through logical chaotic mapping to improve the diversity of the initial population.A diversity swap strategy is put forward to swap some chromo-some regions·values to further improve the algorithm's diversity.Based on the idea of ant colony optimization,the ant colony recombination criterion is raised to enhance the algorithm·s convergence by using the ant·s search behavior.12 test instances are used for experiments,the ablation experiment proves the effectiveness of each strategy,and the comparative experiment results with 7 typical methods verify the superiority of the proposed method.关键词
武器目标分配/遗传算法/蚁群优化/组合优化Key words
weapon target assignment/genetic algorithm/ant colony optimization/combinatorial optimization分类
信息技术与安全科学引用本文复制引用
翁年凤,刘艺,郑奇斌,段伟伟,刘坤,任小广..基于遗传蚁群算法的武器目标分配优化方法[J].海军航空大学学报,2024,39(5):640-648,9.基金项目
国家自然科学青年基金(72201275) （72201275）
第八届青托工程(2022QNRC001) （2022QNRC001）
