Skip to main content

Table 4 Performance for competing algorithms in the dynamic deployment of WSN

From: A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks

 

PSO-IW

DE

QUATRE/best/1

QUATRE/target-to-best/1

BP-QUATRE

Best

0.8873

0.9183

0.9367

0.9305

0.9389

Mean

0.8629

0.9143

0.9212

0.9187

0.9362

Worse

0.8443

0.9084

0.9149

0.9123

0.9331

Std

0.0117

0.0030

0.0067

0.0053

0.0021