A Decomposition-Based Harmony Search Algorithm for Multimodal Multiobjective Optimization

<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">Algorithm</td><td class="align_center">Rank</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><i>t</i> = 2</td><td class="align_center">3.5</td></tr><tr><td class="align_left"><i>t</i> = 3</td><td class="align_center">3.1818</td></tr><tr><td class="align_left"><i>t</i> = 4</td><td class="align_center">3.1818</td></tr><tr><td class="align_left"><b><i>t</i></b> <b>=</b> <b>5</b></td><td class="align_center"><b>2.1364</b></td></tr><tr><td class="align_left"><i>t</i> = 6</td><td class="align_center">3</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Average rankings of MOEA/D-HSA with different parameter settings by the Friedman test in <i>PSP</i>.</div>

Discrete Dynamics in Nature and Society

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Table 4

Table 4: A Decomposition-Based Harmony Search Algorithm for Multimodal Multiobjective Optimization 