Penetration Planning and Design Method of Unmanned Aerial Vehicle Inspired by Biological Swarm Intelligence Algorithm

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Number of iterations</td><td class="align_center">Ant number</td><td class="align_center">Total steps</td><td class="align_center">Number of steps to complete the first iteration</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Constant parameters</td><td class="align_center">200</td><td class="align_center">50</td><td class="align_center">467409</td><td class="align_center">14100</td></tr><tr><td class="align_left">Improved algorithm</td><td class="align_center">200</td><td class="align_center">50</td><td class="align_center">204573</td><td class="align_center">5300</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison between original algorithm and improved algorithm.</div>

Wireless Communications and Mobile Computing

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Table 8

Table 8: Penetration Planning and Design Method of Unmanned Aerial Vehicle Inspired by Biological Swarm Intelligence Algorithm 