A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="10"><hr/></td></tr><tr class="thead"><td class="align_left">Weight (%)</td><td class="align_center">Si</td><td class="align_center">Cu</td><td class="align_center">Fe</td><td class="align_center">Mn</td><td class="align_center">Cr</td><td class="align_center">Mg</td><td class="align_center">Ti</td><td class="align_center">Zn</td><td class="align_center">Al</td></tr><tr><td class="thead-hr" colspan="10"><hr/></td></tr><tr><td class="align_left">Al 6063</td><td class="align_center">0.44</td><td class="align_center">0.028</td><td class="align_center">0.21</td><td class="align_center">0.047</td><td class="align_center">0.011</td><td class="align_center">0.48</td><td class="align_center">0.011</td><td class="align_center">0.079</td><td class="align_center">97.70</td></tr><tr class="table-tr"><td colspan="10"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Chemical properties of Al 6063.</div>

Advances in Materials Science and Engineering

tab2

Table 2

Table 2: A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process 

Table 2 | A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process 