Multi-Objective Site Selection Optimization of Anti-Tank Mine Based on Improved HHO Algorithm
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.
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