Appling the Roulette Wheel Selection Approach to Address the Issues of Premature Convergence and Stagnation in the Discrete Differential Evolution Algorithm

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="9"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2"> </td><td class="align_center" rowspan="2"><i>N</i></td><td class="align_center" rowspan="2">Mean</td><td class="align_center" rowspan="2">Std. deviation</td><td class="align_center" rowspan="2">Minimum</td><td class="align_center" rowspan="2">Maximum</td><td class="align_center" colspan="3">Percentiles</td></tr><tr class="thead"><td class="align_center">25th</td><td class="align_center">50th (median)</td><td class="align_center">75th</td></tr><tr><td class="thead-hr" colspan="9"><hr/></td></tr><tr><td class="align_left">Best gap by DDE algorithm</td><td class="align_center">31</td><td class="align_center">3.369</td><td class="align_center">1.463</td><td class="align_center">0.429</td><td class="align_center">6.867</td><td class="align_center">2.690</td><td class="align_center">3.433</td><td class="align_center">3.729</td></tr><tr><td class="align_left">Best gap by EDDE algorithm</td><td class="align_center">31</td><td class="align_center">1.361</td><td class="align_center">0.948</td><td class="align_center">0.000</td><td class="align_center">2.803</td><td class="align_center">0.370</td><td class="align_center">1.708</td><td class="align_center">2.080</td></tr><tr class="table-tr"><td colspan="9"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Applied Computational Intelligence and Soft Computing

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Table 9

Table 9: Appling the Roulette Wheel Selection Approach to Address the Issues of Premature Convergence and Stagnation in the Discrete Differential Evolution Algorithm 

Table 9 | Appling the Roulette Wheel Selection Approach to Address the Issues of Premature Convergence and Stagnation in the Discrete Differential Evolution Algorithm 