A Genetic Algorithm with Fuzzy Crossover Operator and Probability

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Crossover operators</td><td align="center">Abbreviation</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">2-point crossover</td><td align="center">2PC</td></tr><tr><td align="left"><svg height="12.4375" id="M109" 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 crossover</td><td align="center">KPC</td></tr><tr><td align="left">Uniform crossover</td><td align="center">UC</td></tr><tr><td align="left">Segregation crossover</td><td align="center">SC</td></tr><tr><td align="left">Inversion crossover</td><td align="center">IC</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Advances in Operations Research

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Table 4

Table 4: A Genetic Algorithm with Fuzzy Crossover Operator and Probability 