Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Application name</td><td align="center">Design variable 1</td><td align="center">Design variable 2</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Dotted</td><td align="center">Hue of dot</td><td align="center">Rate of dot size</td></tr><tr><td align="left">Arabesque</td><td align="center">Hue of front color</td><td align="center">Hue of background color</td></tr><tr><td align="left">Plaid</td><td align="center">Hue of first color</td><td align="center">Hue of second color</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Design variables of experimental applications.

Applied Computational Intelligence and Soft Computing

tab2

Table 2

Table 2: Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences 