UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">The number of swarms</td><td class="align_center">1</td><td class="align_center">10</td><td class="align_center">20</td><td class="align_center">30</td><td class="align_center">40</td></tr><tr><td class="align_left">The number of particles</td><td class="align_center">50</td><td class="align_center">500</td><td class="align_center">1000</td><td class="align_center">1500</td><td class="align_center">2000</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The relations between the number of swarms and the total number of particles used for the multi-swarm PSO algorithm.</div>

International Journal of Aerospace Engineering

tab6

Table 6

Table 6: UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm 