Inventory Path Optimization of VMI Large Logistics Enterprises Based on Ant Colony Algorithm

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Meaning</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">popsize</td><td class="align_center">Population number</td><td class="align_center">20</td></tr><tr><td class="align_left">maxgen</td><td class="align_center">Maximum number of iterations</td><td class="align_center">1000</td></tr><tr><td class="align_left">pc</td><td class="align_center">Crossover probability</td><td class="align_center">0.7</td></tr><tr><td class="align_left">pm</td><td class="align_center">Variation probability</td><td class="align_center">0.1</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Parameters of genetic algorithm.</div>

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tab6

Table 6

Table 6: Inventory Path Optimization of VMI Large Logistics Enterprises Based on Ant Colony Algorithm 