A Genetic Algorithm with Fuzzy Crossover Operator and Probability

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Low</td><td align="center">Medium</td><td align="center">High</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left" rowspan="2">2-point</td><td align="center"><svg height="12.4375" id="M113" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 8.6750002 12.4375" width="8.6750002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>-point</td><td align="center">Segregation</td></tr><tr><td align="center">Uniform</td><td align="center">Inversion</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Levels of crossover operator based on CA.

Advances in Operations Research

tab5

Table 5

Table 5: A Genetic Algorithm with Fuzzy Crossover Operator and Probability 