An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Statistical value</td><td class="align_center"><i>P</i> value</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Friedman test</td><td class="align_center">72.8290</td><td class="align_center">9.43E−11</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Statistical value of the Friedman test for EFLA and other algorithms.</div>

Computational Intelligence and Neuroscience

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Table 9

Table 9: An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications 