The Parameters Optimization of MCR-WPT System Based on the Improved Genetic Simulated Annealing Algorithm

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2015/174868/figures/174868.fig.003a.svgz" name="174868.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The initial population of 100</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2015/174868/figures/174868.fig.003b.svgz" name="174868.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The initial population of 150</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2015/174868/figures/174868.fig.003c.svgz" name="174868.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>The initial population of 200</td></tr></table>

<div>The solved objective function curves with different initial population.</div>

Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: The Parameters Optimization of MCR-WPT System Based on the Improved Genetic Simulated Annealing Algorithm 