An Efficient Two-Objective Hybrid Local Search Algorithm for Solving the Fuel Consumption Vehicle Routing Problem

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/acisc/volume-2016/3713918/figures/3713918.fig.002a.svgz" name="3713918.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>CO<sub>2</sub> emission</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/acisc/volume-2016/3713918/figures/3713918.fig.002b.svgz" name="3713918.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Fuel consumption</td></tr></table>

<div>The relationships between driving speed and CO<sub>2</sub> emission and fuel consumption.</div>

Applied Computational Intelligence and Soft Computing

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Figure 2

Figure 2: An Efficient Two-Objective Hybrid Local Search Algorithm for Solving the Fuel Consumption Vehicle Routing Problem 