A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems

<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">2-point</td><td align="center"><i>k</i>-point <br/>Uniform</td><td align="center">Segregation <br/>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 (source: [<a href="/journals/jam/2012/703601/#B20">20</a>]).

Journal of Applied Mathematics

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Table 5

Table 5: A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems 