Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="302573.fig.007a" src="https://static.hindawi.com/articles/acisc/volume-2013/302573/figures/302573.fig.007a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Pseudo-Kansei Landscape with 2 peaks</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="302573.fig.007b" src="https://static.hindawi.com/articles/acisc/volume-2013/302573/figures/302573.fig.007b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Pseudo-Kansei Landscape with 4 peaks</td></tr></table></td></tr></table>

<table>Examples of 2-dimensional pseudo-user landscapes.</table>

Applied Computational Intelligence and Soft Computing

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Figure 7

Figure 7: Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences 