A Game Theoretical Approach for Solving Winner Determination Problems

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Parameters </td><td align="center">Settings </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Population size </td><td align="center">100 </td></tr><tr><td align="left">Crossover rate </td><td align="center">0.9 </td></tr><tr><td align="left">Mutation rate </td><td align="center">0.025 </td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The parameter settings of the genetic algorithm.

Journal of Applied Mathematics

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Table 5

Table 5: A Game Theoretical Approach for Solving Winner Determination Problems 