基于改进果蝇优化算法的空面巡航导弹航线规划  

作　　者：孔繁宇 史朝辉[1] 任洪达 

机构地区：[1]空军工程大学,西安710051 [2]中国人民解放军93320部队,黑龙江齐齐哈尔161005

出　　处：《科技创新与应用》2025年第5期13-17,共5页Technology Innovation and Application

摘　　要：为合理高效解决空面巡航导弹航线规划问题,提出一种改进果蝇优化算法。通过采用变步长搜索、合理设置浓度函数、引入猴群算法中“翻过程”融合到传统果蝇优化算法中进行改进,意图解决传统算法后期搜索精度不高、易陷入局部最优的问题。对比改进算法和传统算法进行仿真实验并分析数据,结果表明,改进算法较传统算法成功实现目标的概率更大,而且改进算法在航线平均长度、最小长度、长度方差等数据方面均表现出更强的优势性。可见,利用改进果蝇优化算法解决航线规划问题切实可行、快速有效。In order to solve the route planning problem of air-to-surface cruise missiles reasonably and efficiently,an improved fruit fly optimization algorithm is proposed.By adopting variable step-size search,reasonably setting the concentration function,introducing the"turning process"in the monkey swarm algorithm and integrating it into the traditional fruit fly optimization algorithm for improvement,it is intended to solve the problems of low search accuracy in the later stage of the traditional algorithm and easy to fall into local optimization.Simulations and data analysis are carried out by comparing the improved algorithm with the traditional algorithm.The results show that the improved algorithm has a greater probability of successfully achieving the goal than the traditional algorithm,and the improved algorithm shows stronger advantages in terms of data such as average length,minimum length,length variance of the route.It can be seen that using the improved fruit fly optimization algorithm to solve the route planning problem is feasible,fast and effective.

关 键 词：果蝇优化算法 猴群算法 巡航导弹 航线规划 仿真实验 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]