Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="924137.fig.002a" src="https://static.hindawi.com/articles/bmri/volume-2013/924137/figures/924137.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Crossover</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="924137.fig.002b" src="https://static.hindawi.com/articles/bmri/volume-2013/924137/figures/924137.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Mutation</td></tr></table></td></tr></table>

<table>Typical (a) crossover and (b) mutation operators.</table>

BioMed Research International

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Figure 2

Figure 2: Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction 