Analysis of Population Diversity of Dynamic Probabilistic Particle Swarm Optimization Algorithms

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="762015.fig.002a" src="https://static.hindawi.com/articles/mpe/volume-2014/762015/figures/762015.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Evolutionary Trend</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="762015.fig.002b" src="https://static.hindawi.com/articles/mpe/volume-2014/762015/figures/762015.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>DiversityA</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="762015.fig.002c" src="https://static.hindawi.com/articles/mpe/volume-2014/762015/figures/762015.fig.002c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>DiversityB</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="762015.fig.002d" src="https://static.hindawi.com/articles/mpe/volume-2014/762015/figures/762015.fig.002d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>DiversityC</td></tr></table></td></tr></table>

<table>Comparison of evolutionary trends on fitness value and diversity indicators of Schaffer F6 function.</table>

Mathematical Problems in Engineering

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Figure 2: Analysis of Population Diversity of Dynamic Probabilistic Particle Swarm Optimization Algorithms 