Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/2653512/figures/2653512.fig.003a.svgz" name="2653512.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Comparative analysis of running time</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/2653512/figures/2653512.fig.003b.svgz" name="2653512.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Comparative analysis of iterations</td></tr></table>

<div>The average running times and iterations of SSA, WOA, GWO, and HGGWA on different test functions.</div>

Complexity

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Figure 3

Figure 3: Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization 