A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">The modified RGA</td><td class="align_center">RGA</td><td class="align_center"><i>t</i>-value</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Average</td><td class="align_center">277.270614</td><td class="align_center">39.76453</td><td class="align_center"> </td></tr><tr><td class="align_left">St. dev.</td><td class="align_center">56.7086340687</td><td class="align_center">2.399219965</td><td class="align_center"><b>5.4306<i>E</i>−33</b></td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The <i>t</i>-value of 49 degrees of freedom is significant at a QOS level of significance by two-tailed <i>t</i>-test for MRGA and RGA.

Discrete Dynamics in Nature and Society

tab4

Table 4

Table 4: A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks 