基于改进量子遗传算法的远程鱼雷航迹规划  

Long-range Torpedo Track Planning Method Based on Improved Quantum Genetic Algorithm

作　　者：罗笛 武志东[2] 凌佳玉 LUO Di;WEI Zhi-dong;LING Jia-yu(Unit 92763 of PLA,Dalian Liaoning 116041,China;Navy Submarine Academy,Qingdao Shandong 266199,China)

机构地区：[1]中国人民解放军92763部队,辽宁大连116041 [2]海军潜艇学院,山东青岛266199

出　　处：《计算机仿真》2025年第3期12-15,66,共5页Computer Simulation

摘　　要：针对复杂威胁环境下远程鱼雷航迹规划问题,运用量子计算和量子理论,提出了一种基于改进量子遗传算法的航迹规划方法。首先,综合考虑复杂威胁环境的等效地形和鱼雷航迹规划的约束条件,构建鱼雷航迹规划适应度函数;采用量子位对鱼雷航迹进行编码,通过引入量子交叉操作、量子变异操作和量子旋转门动态步长调整策略,改进量子遗传算法并将其应用于鱼雷航迹的逐步优化。仿真结果表明,上述方法解算效率较高,且规划出的航迹长度短、平滑度好,对指导远程鱼雷作战使用具有重要参考价值。In response to the track planning challenge for the long-range torpedo in complex threat scenarios,a track planning method based on an improved quantum genetic algorithm is presented by quantum computing and quantum theory.The equivalent terrain and the restrictions are taken into account in order to develop the adaptation function of long-range torpedo track planning.Quantum bits are employed to represent the torpedo trajectory.Furthermore,by including quantum crossover,quantum variation,and a dynamic adjustment approach for rotation step length,the improved quantum genetic algorithm is enhanced for long-range torpedo track planning and simulation.The simulation demonstrates that the method has high solving efficiency,short planning trajectory length and good smoothness,with a significant reference value for long-range torpedo operations.

关 键 词：量子计算 量子遗传算法 航迹规划 远程鱼雷 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TJ630[自动化与计算机技术—计算机科学与技术]