摘要
为了提升遗传算法在反舰导弹航路规划中的寻优效率,提出一种基于量子遗传算法的反舰导弹航路规划方法。首先利用傅里叶变换中正弦函数叠加思想,将可行航路曲线用若干正弦波之和进行表征;其次,基于量子遗传算法(QGA)对航路模型中待优化的参数在取值范围内进行寻优得到最优航路;最后,设定典型的威胁区,通过数学仿真验证本文所提出的规划方法的有效性和寻优效率。
To optimize the efficiencies of the genetic algorithm in anti-ship missile route planning,an anti-ship missile route planning method using a particular quantum genetic algorithm was proposed in this study.Firstly,the feasible route curve was characterized by the sum of several sine waves using the sine function superposition acquired from the Fourier transform.Then,using the quantum genetic algorithm(GGA),the parameters to be optimized in the route model were optimized within the range of values allowing the optimal route.Finally,the effectiveness and optimization efficiencies of the planning method proposed have been verified by mathematical simulation.
作者
蒋瑞民
王宣灵
张明恩
赵斌
JIANG Ruimin;WANG Xuaning;ZHANG Mingen;ZHAO Bin(School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,Shaanxi,China;Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China)
出处
《空天防御》
2023年第4期31-34,共4页
Air & Space Defense
基金
国家自然科学基金(62103331)
上海航天科技创新基金(SAST2020-003)。
关键词
反舰导弹
航路规划
量子遗传算法(QGA)
量子旋转门算子
正弦函数叠加法
anti-ship missile
route planning
quantum genetic algorithm(QGA)
quantum revolving gate operator
sine function superposition
