Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="369016.fig.007a" src="https://static.hindawi.com/articles/cin/volume-2013/369016/figures/369016.fig.007a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b> SPFN-ACO</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="369016.fig.007b" src="https://static.hindawi.com/articles/cin/volume-2013/369016/figures/369016.fig.007b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b> HMERP-ACO</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="369016.fig.007c" src="https://static.hindawi.com/articles/cin/volume-2013/369016/figures/369016.fig.007c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>ACO</td></tr></table></td></tr></table>

<table>Time-varying congestion degrees in three algorithms.</table>

Computational Intelligence and Neuroscience

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Figure 7

Figure 7: Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO 