现代应用物理2024，Vol.15Issue(3)：166-170,5.DOI:10.12061/j.issn.2905-6223.2024.031202
基于指数型累积毁伤律的武器目标分配问题快速寻优
Fast Optimization of Weapon Target Assignment Based on Exponential Damage Accumulation
摘要
Abstract
Aiming at the joint strike,based on the exponential damage accumulation law,a quantitative function of the damage ability of multiple weapons to the target is established,as well as the theoretical model of weapon target assignment is presented.To improve the efficiency and performance of the solution,self-adaptive genetic algorithm(AGA)is adopted to adjust the crossover rate and mutation rate according to the fitness value of each individual,so as to solve the shortcoming of prematurity and slow convergence of standard genetic algorithm.In this paper,a specific example is given,which includes five weapon types(total:41 weapons)and 6 targets.Compared with the standard genetic algorithm,the AGA can solve the better and more convergent approximate optimal solution,and can realize the fast optimization of weapon target assignment problem considering damage accumulation in the joint fire strike.关键词
联合火力打击/武器目标分配/毁伤累积/毁伤能力量化函数/自适应遗传算法Key words
joint strike/weapon target assignment/damage accumulation/quantitative function of the damage ability/self-adaptive genetic algorithm分类
信息技术与安全科学引用本文复制引用
王磊,随亚光,高浩鹏,李浩,吴易烜..基于指数型累积毁伤律的武器目标分配问题快速寻优[J].现代应用物理,2024,15(3):166-170,5.基金项目
国家自然科学基金资助项目(12072290) （12072290）
