Global Path Planning for Unmanned Surface Vehicle Based on Improved Quantum Ant Colony Algorithm

<table class="fixed-width table-group" id="tab1"><tr><td><table class="table"><colgroup><col style="width:5.49em"/><col style="width:4.11em"/><col style="width:4.73em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Length</td><td class="align_center">Iteration</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">ACA</td><td class="align_center">8447</td><td class="align_center">167</td></tr><tr><td class="align_left">QACA</td><td class="align_center">8062</td><td class="align_center">142</td></tr><tr><td class="align_left">IQACA</td><td class="align_center">7891</td><td class="align_center">126</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The obtained values from the simulations.</div>

Mathematical Problems in Engineering

tab1

Table 1

Table 1: Global Path Planning for Unmanned Surface Vehicle Based on Improved Quantum Ant Colony Algorithm 