Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Two-tailed <i>t</i>-test</td><td class="align_center">0.38</td></tr><tr><td class="align_left">Speedup</td><td class="align_center">13.80</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Two-tailed <i>t</i>-test and speedup results from the comparison of the sequentialization model and the multipopulation model on the case study.</div>

Complexity

tab6

Table 6

Table 6: Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit 