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

<table class="table-group" id="tab17"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Characteristics</td><td class="align_center">Primary design</td><td class="align_center">Optimal design</td><td class="align_center">Advancement (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left"><i>F</i><sub>1</sub></td><td class="align_center">2.224</td><td class="align_center">2.292</td><td class="align_center">3.708</td></tr><tr><td class="align_left"><i>F</i><sub>2</sub> (mm)</td><td class="align_center">436.04</td><td class="align_center">468.076</td><td class="align_center">18.498</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Advancement between primary design and optimal design.</div>

Mathematical Problems in Engineering

tab17

Table 17

Table 17: Multiresponse Optimization for a Novel Compliant Z-Stage by a Hybridization of Response Surface Method and Whale Optimization Algorithm 