Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left" rowspan="2">Method</td><td align="center" colspan="4">Fuzzy fitness value</td></tr><tr class="thead"><td align="center">Max</td><td align="center">Average</td><td align="center">Min</td><td align="center">Standard deviation</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left"><b>MABC</b></td><td align="center"><b>0.7716</b></td><td align="center"><b>0.7713</b></td><td align="center"><b>0.7707</b></td><td align="center"><b>0.0003</b></td></tr><tr><td align="left">ABC</td><td align="center">0.7645</td><td align="center">0.7558</td><td align="center">0.7449</td><td align="center">0.0044</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Fuzzy fitness values obtained by different algorithms over 20 independent runs.

Mathematical Problems in Engineering

tab6

Table 6

Table 6: Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm 