Feasible Initial Population with Genetic Diversity for a Population-Based Algorithm Applied to the Vehicle Routing Problem with Time Windows

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3851520/figures/3851520.fig.004a.svgz" name="3851520.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Hamming distance: 2</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/3851520/figures/3851520.fig.004b.svgz" name="3851520.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Hamming distance: 8</td></tr></table>

<div>(a) Hamming distance calculation for two similar sequences, (b) Hamming distance between very different sequences.</div>

Mathematical Problems in Engineering

fig4

Figure 4

Figure 4: Feasible Initial Population with Genetic Diversity for a Population-Based Algorithm Applied to the Vehicle Routing Problem with Time Windows 

Figure 4 | Feasible Initial Population with Genetic Diversity for a Population-Based Algorithm Applied to the Vehicle Routing Problem with Time Windows 