Improved Simulated Annealing Based Network Model for E-Recycling Reverse Logistics Decisions under Uncertainty

<table class="fixed-width table-group" id="tab5"><tr><td><table class="table"><colgroup><col style="width:14.81em"/><col style="width:10.68em"/><col style="width:11.00em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Number of nodes in the problems</td><td class="align_center">Ave percentage gap (%)</td><td class="align_center">NSR percentage gap (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">5</td><td class="align_center">1.30</td><td class="align_center">8.72</td></tr><tr><td class="align_left">10</td><td class="align_center">0.50</td><td class="align_center">14.36</td></tr><tr><td class="align_left">15</td><td class="align_center">0.70</td><td class="align_center">19.66</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Percentage gaps of Ave and NSR between the two SAs.</div>

Mathematical Problems in Engineering

tab5

Table 5

Table 5: Improved Simulated Annealing Based Network Model for E-Recycling Reverse Logistics Decisions under Uncertainty 