摘要
为解决岛礁防空中防空武器部署的突出问题,文中针对岛礁防空作战任务特点,设计了岛礁防空区域,建立了岛礁防空武器部署模型,提出了一种基于免疫操作的自适应量子遗传算法的岛礁防空武器部署优化方法。该方法在标准量子遗传算法的基础上,通过采用自适应染色体长度和旋转门旋转角度、增加免疫操作等手段,提高了计算效率和稳定性。最后,通过具体案例,验证了该方法的可行性和优越性。
In order to solve the problem of air defense weapons deployment of islands and reefs, according to the characteristics of air defense mission of islands and reefs, this paper designs air defense area of islands and reefs, establishes the deployment model of islands and reefs air defense weapons, and puts forward an optimization method of air defense weapons deployment of islands and reefs by using an adaptive quantum genetic algorithm with immune operation. Based on the standard quantum genetic algorithm, this method improves the computational efficiency and stability by using the length of self-corresponding chromosome, the rotation angles of rotation gate and adding immune operation. Finally, the feasibility and superiority of this method are verified by a specific case.
作者
陶杨
颜仙荣
孟田珍
TAO Yang;YAN Xian-rong;MENG Tian-zhen(Unit 92728 of PLA,Shanghai 200436,China)
出处
《中国电子科学研究院学报》
北大核心
2022年第5期478-483,共6页
Journal of China Academy of Electronics and Information Technology
关键词
岛礁防空
部署优化
量子遗传算法
适应度函数
air defense of islands and reefs
deployment optimization
quantum genetic algorithm
stress function
