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.0022a" src="https://static-preview.hindawi.com/articles/acisc/volume-2013/302573/figures/302573.fig.0022a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Search log of proposed method</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="302573.fig.0022b" src="https://static-preview.hindawi.com/articles/acisc/volume-2013/302573/figures/302573.fig.0022b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Search log of conventional method</td></tr></table></td></tr></table>

<table>Search logs of the last generation for the unimodal landscape (for the dotted pattern).</table>

Applied Computational Intelligence and Soft Computing

fig22

Figure 22

Figure 22: Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences 