空天防御2023，Vol.6Issue(4)：31-34,4.
基于量子遗传算法的反舰导弹航路规划方法
An Anti-ship Missile Route Planning Method Based on Quantum Genetic Algorithm
摘要
Abstract
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.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Key words
anti-ship missile/route planning/quantum genetic algorithm(QGA)/quantum revolving gate operator/sine function superposition引用本文复制引用
蒋瑞民,王宣灵,张明恩,赵斌..基于量子遗传算法的反舰导弹航路规划方法[J].空天防御,2023,6(4):31-34,4.基金项目
国家自然科学基金(62103331) （62103331）
上海航天科技创新基金(SAST2020-003) （SAST2020-003）
