Pipeline Optimization for an Economical Microsprinkler Irrigation System Based on a Hybrid Genetic Algorithm

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Running times</td><td class="align_center" colspan="2">HGA</td><td class="align_center" colspan="2">GA</td></tr><tr class="thead"><td class="align_center">Average valid iteration</td><td class="align_center">Number of successful hits</td><td class="align_center">Average valid iteration</td><td class="align_center">Number of successful hits</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">10</td><td class="align_center">31</td><td class="align_center">10</td><td class="align_center">38</td><td class="align_center">6</td></tr><tr><td class="align_left">20</td><td class="align_center">47</td><td class="align_center">17</td><td class="align_center">58</td><td class="align_center">14</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Average valid iteration number and number of successful hits of the HGA and the GA.</div>

Mathematical Problems in Engineering

tab3

Table 3

Table 3: Pipeline Optimization for an Economical Microsprinkler Irrigation System Based on a Hybrid Genetic Algorithm 