An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications

<table class="table-group" id="tab15"><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">34.493</td><td class="align_center">3.00<i>E</i> − 4</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.</div>

Computational Intelligence and Neuroscience

tab15

Table 15

Table 15: An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications 