Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems

<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 align="left">Algorithm</td><td align="center">Search range</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">CLPSO</td><td align="center"><span style="width: 108.1625px;"><svg height="16.637501" id="M105" style="vertical-align:-2.42964pt" version="1.1" viewbox="0 0 108.1625 16.637501" width="108.1625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">APSO</td><td align="center"><span style="width: 67.775002px;"><svg height="16.637501" id="M106" style="vertical-align:-2.42964pt" version="1.1" viewbox="0 0 67.775002 16.637501" width="67.775002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Search ranges of Rosenbrock for CLPSO and APSO.

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems 