Statistical Design of Genetic Algorithms for Combinatorial Optimization Problems

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Parameter</td><td align="center">Optimum value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Population size</td><td align="center">1.56<svg height="7.1374998" id="M153" style="vertical-align:-0.10033pt" version="1.1" viewbox="0 0 7.8874998 7.1374998" width="7.8874998" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,7.1375)">
<g transform="translate(72,-66.29)">
<text transform="matrix(1,0,0,-1,-71.95,66.44)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑛</tspan>
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</svg></td></tr><tr><td align="left">Crossover probability</td><td align="center">1</td></tr><tr><td align="left">Mutation probability</td><td align="center">0.048</td></tr><tr><td align="left">Local improvement probability</td><td align="center">0.15</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab9

Table 9

Table 9: Statistical Design of Genetic Algorithms for Combinatorial Optimization Problems 