基于改进HHO算法的反坦克地雷多目标选址优化
Multi-Objective Site Selection Optimization of Anti-Tank Mine Based on Improved HHO Algorithm
李众元 1邬建华 2孔新立 2唐海洲2
作者信息
- 1. 陆军工程大学,江苏 南京 210007;武警某训练基地,北京 101500
- 2. 陆军工程大学,江苏 南京 210007
- 折叠
摘要
地形因素是反坦克地雷效能评估要考虑的重要因子,亟需要构建科学的模型进行精细化的评估.现提出以障碍组为基本设障单位的反坦克地雷选址模型,在设障区域内进行多目标选址优化,尝试量化地理要素影响,结合提出并利用改进的哈里斯鹰算法求解,为地雷设置密度与方式的选择提供更精细的数据支撑,指导部队遂行战斗任务.通过计算机编程模拟不同数量坦克进攻的仿真证明,采用改进哈里斯鹰算法进行最优化的设置方案可以有效提高反坦克地雷的毁伤效能、降低地雷消耗,并为类似的选址仿真研究提供参考.
Abstract
Terrain factor is an important factor to be considered in the effectiveness evaluation of anti-tank mines,and it is urgent to build a scientific model for fine evaluation.In this paper,an anti-tank mine siting model with the obstacle group as the basic obstacle unit is proposed,and the multi-target site selection optimization is car-ried out in the obstacle area,and the influence of geographical elements is tried to quantify,combined with the im-proved Harris Eagle algorithm to provide more refined data support for the selection of mine density and mode,and guide the troops to carry out combat missions.Computer programming simulation of different numbers of tank attack simulation experiments shows that the optimized deployment scheme using the improved Harris hawk optimization can effectively improve the damage efficiency of anti-tank mines,reduce the consumption of mines,and provide a reference for similar simulation research on location.
关键词
反坦克地雷/多目标选址/哈里斯鹰算法/作战模拟Key words
Anti-tank mines/Multi-target siting/Harris Eagle algorithm/Combat simulation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据