Dragonfly Algorithm and Its Applications in Applied Science Survey

<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 class="align_left">Parameter</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><i>β</i></td><td class="align_center">1.5</td></tr><tr><td class="align_left"><i>D</i></td><td class="align_center">31</td></tr><tr><td class="align_left"><i>M</i></td><td class="align_center">50</td></tr><tr><td class="align_left">Lower bound</td><td class="align_center">1</td></tr><tr><td class="align_left">Upper bound</td><td class="align_center">31</td></tr><tr><td class="align_left">Maximum iteration</td><td class="align_center">50</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Parameter settings for CDA, <i>D</i> stands for dimension [<a href="/journals/cin/2019/9293617/#B35" target="_blank">35</a>].</div>

Computational Intelligence and Neuroscience

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Table 4

Table 4: Dragonfly Algorithm and Its Applications in Applied Science Survey 