Multiresponse Optimization for a Novel Compliant Z-Stage by a Hybridization of Response Surface Method and Whale Optimization Algorithm

<table class="table-group" id="tab13"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Quantity for assessments</td><td class="align_center">Anticipated medium</td><td class="align_center">P-worth</td><td class="align_center">Wilcoxon statistic</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">35</td><td class="align_center">17.5383</td><td class="align_center">≤0.001</td><td class="align_center">630</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Wilcoxon’s benchmark of the proposed algorithm vs. CSA for the displacement</div>

Mathematical Problems in Engineering

tab13

Table 13

Table 13: Multiresponse Optimization for a Novel Compliant Z-Stage by a Hybridization of Response Surface Method and Whale Optimization Algorithm 