pSum-SaDE: A Modified <i>p</i>-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization

<table>Scaling factor (<svg height="10.325" id="M133" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 12.05 10.325" width="12.05" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝐹</tspan>
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</svg>) versus affinity index <svg height="13.45" id="M134" style="vertical-align:-2.21957pt" version="1.1" viewbox="0 0 42.325001 13.45" width="42.325001" xmlns="http://www.w3.org/2000/svg">
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<g transform="translate(72,-61.24)">
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<tspan style="font-size: 12.50px; " x="0" y="0">(</tspan>
<tspan style="font-size: 12.50px; " x="4.1634989" y="0">A</tspan>
<tspan style="font-size: 12.50px; " x="13.190665" y="0">I</tspan>
<tspan style="font-size: 12.50px; " x="17.354164" y="0">(</tspan>
<tspan style="font-size: 12.50px; " x="21.517662" y="0">𝑡</tspan>
<tspan style="font-size: 12.50px; " x="25.431103" y="0">)</tspan>
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Applied Computational Intelligence and Soft Computing

fig1

Figure 1

Figure 1: pSum-SaDE: A Modified <i>p</i>-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization 

Applied Computational Intelligence and Soft Computing

pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization

Figure 1