科技创新与应用2025，Vol.15Issue(5)：13-17,5.DOI:10.19981/j.CN23-1581/G3.2025.05.003
基于改进果蝇优化算法的空面巡航导弹航线规划
孔繁宇 1史朝辉 2任洪达3
作者信息
- 1. 空军工程大学,西安 710051||中国人民解放军 93320 部队,黑龙江 齐齐哈尔 161005
- 2. 空军工程大学,西安 710051
- 3. 中国人民解放军 93320 部队,黑龙江 齐齐哈尔 161005
- 折叠
摘要
Abstract
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Key words
drosophila optimization algorithm/monkey swarm algorithm/cruise missile/route planning/simulation experiment分类
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孔繁宇,史朝辉,任洪达..基于改进果蝇优化算法的空面巡航导弹航线规划[J].科技创新与应用,2025,15(5):13-17,5.
