A Hybrid Search Model for Constrained Optimization

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Ranking</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">HyCO</td><td class="align_center"><b>3.25</b></td></tr><tr><td class="align_left">DeCODE</td><td class="align_center">3.3333</td></tr><tr><td class="align_left">AIS-IRP</td><td class="align_center">3.3611</td></tr><tr><td class="align_left">FROFI</td><td class="align_center">3.4722</td></tr><tr><td class="align_left">ITLBO</td><td class="align_center">3.6667</td></tr><tr><td class="align_left">ECHTDE</td><td class="align_center">3.9167</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Rankings obtained by the Friedman’s test for HyCO and other compared algorithms on 18 COPs with 10 d from CEC 2010.</div>

Discrete Dynamics in Nature and Society

A Hybrid Search Model for Constrained Optimization

Table 3